|| List of recent Gauss-related patents
System for classifying whether audio data received in a speaker recognition system is genuine or a spoof using a gaussian classifier and method for classifying whether audio data received in a speaker recognition system is genuine or a spoof using a gaussian classifier.. .
|Abnormal behaviour detection|
Methods and apparatus for determining whether a provided object track (24) is abnormal, an object track (24) being a set of values of a physical property of an object (2) measured over a period of time, the method comprising: providing a model comprising one or more functions (26), each function (26) being representative of an object track (24) that is defined to be normal; assigning the provided object track (24) to a function (26); and comparing the provided object track (24) to the assigned function (26) to determine whether that object track (24) is abnormal. Providing the model comprises: for each of a plurality of objects (2), determining an object track (24), wherein the determined object tracks (24) are defined as normal object tracks (24); and using the determined tracks (24), performing a gaussian processes based variational bayes expectation maximisation process to learn the one or more functions (26)..
Bae Systems Plc
|Stereo extension apparatus and method|
Disclosed herein are a stereo extension apparatus and method. The apparatus includes a database that stores predetermined information as a result of gaussian mixture model (gmm) training or hidden markov model (hmm) training; a modified discrete cosine transform (mdct) transformer that transforms a mono signal through mdct, a feature parameter extractor that extracts a feature parameter of the mono signal from an mdct coefficient output from the mdct transformer, a side signal energy estimator that estimates subband energy of a side signal with reference to information stored in the database based on the feature parameter; an energy controller that obtains the mdct coefficient of a side signal estimated from the subband energy of the estimated side signal, an inverse mdct transformer that obtains an estimated side signal by transforming the mdct coefficient of the estimated side signal through inverse mdct..
Gwangju Institute Of Science And Technology
|Profit-based layout determination for webpage implementation|
Systems and methods for automatic generation and efficient exploration of a large number of webpage layouts to discover a layout with superior empirical performance. A set of variants are displayed to visitors in accordance with a display probability distribution.
|State estimation of power systems decomposed into two or more subsystems|
A power system grid is decomposed into several parts and decomposed state estimation steps are executed separately, using lagrangian relaxation and blockwise gauss-seidel solution. The achieved solution is the same that would be achieved with a simultaneous state estimation approach.
Abb Technology Ag
|Method and system for bias corrected speech level determination|
Method for measuring level of speech determined by an audio signal in a manner which corrects for and reduces the effect of modification of the signal by the addition of noise thereto and/or amplitude compression thereof, and a system configured to perform any embodiment of the method. In some embodiments, the method includes steps of generating frequency banded, frequency-domain data indicative of an input speech signal, determining from the data a gaussian parametric spectral model of the speech signal, and determining from the parametric spectral model an estimated mean speech level and a standard deviation value for each frequency band of the data; and generating speech level data indicative of a bias corrected mean speech level for each frequency band, including using at least one correction value to correct the estimated mean speech level for the frequency band, where each correction value has been predetermined using a reference speech model..
Dolby Laboratories Licensing Corporation
|System, method and computer accessible medium for providing real-time diffusional kurtosis imaging and for facilitating estimation of tensors and tensor- derived measures in diffusional kurtosis imaging|
Exemplary method, system, and computer-accessible medium can be provided for determining a measure of diffusional kurtosis by receiving data relating to at least one diffusion weighted image, and determining a measure of a diffusional kurtosis as a function of the received data using a closed form solution procedure. In accordance with certain exemplary embodiments of the present disclosure, provided herein are computer-accessible medium, systems and methods for, e.g., imaging in an mri system, and, more particularly for facilitating estimation of tensors and tensor-derived measures in diffusional kurtosis imaging (dki).
New York University
|Statistical modelling, interpolation, measurement and anthropometry based prediction of head-related transfer functions|
A system is disclosed for statistical modelling, interpolation, and user-feedback based inference of head-related transfer functions (hrtf) includes a processor performing operations that include using a collection of previously measured head related transfer functions for audio signals corresponding to multiple directions for at least one subject; and performing gaussian process hyper-parameter training on the collection of audio signals. A method is disclosed for statistical modelling, interpolation, measurement and anthropometry based prediction of head-related transfer functions (hrtf) for a virtual audio system that includes collecting audio signals in transform domain for at least one subject; applying head related transfer functions (hrtf) measurement directions in multiple directions to the collected audio signals; and performing gaussian hyper-parameter training on the collection of audio signals to generate at least one predicted hrtf..
University Of Maryland
|Method and distance measuring equipment (dme/normal) using alternative pulse shapes|
A method for measuring distance includes transmitting a first pair of rf pulses from an airborne interrogator, where the first pair of rf pulses are temporally separated from each other by a first time interval and each of the rf pulses in the first pair of rf pulses has a first pulse waveform. The method also includes receiving a second pair of rf pulses transmitted by a ground transponder.
Selex Es Inc.
|Adaptive mitigation of platform-generated radio-frequency interference|
Described are methods and systems for mitigating radio-frequency interference (rfi) generated by a receiving platform. After downconverting a received rf signal to baseband, the rfi component in the baseband signal may be estimated using a model-based estimator (e.g., a nonlinear filter such as an extended kalman filter) that is tuned to a statistical model of the rfi source.
Systems and methods for determining optimal parameters for dynamic quantum clustering analyses
In the present work, quantum clustering is extended to provide a dynamical approach for data clustering using a time-dependent schrödinger equation. To expedite computations, we can approximate the time-dependent hamiltonian formalism by a truncated calculation within a set of gaussian wave-functions (coherent states) centered around the original points.
The Board Of Trustees Of The Leland Stanford Junior Unviersity
Electrocardiography signal extraction method
An electrocardiography signal extraction method includes receiving an electrocardiography signal, detecting a peak of a wave of the electrocardiography signal, separating the wave into left and right waves, normalizing the left wave and a plurality of scales of gaussian, comparing the normalized left wave with a left part of the normalized scales of gaussian, acquiring a left part error function, indicating a left minimum comparative error, selecting a left scale of gaussian with the left minimum comparative error, obtaining a left duration of the wave, normalizing the right wave, comparing the normalized right wave with a right part of the normalized scales of gaussian, acquiring a right part error function, indicating a right minimum comparative error, selecting a right scale of gaussian with the right minimum comparative error, obtaining a right duration of the wave, and obtaining an extracted wave.. .
National Cheng Kung University
Provided is a battery module having improved safety by disconnecting an electrical connection due to short-circuit of electrode tabs by bending the electrode tabs upwardly extended to form welding parts having welding surfaces in a direction perpendicular to the battery module, performing a spot laser welding on the welding parts in a lap welding scheme using a top-hat-type laser beam or a gaussian-type laser beam, and including a swelling partition to adjust a swelling position when a swelling increasing a volume due to a problem in a battery cell occurs and to short-circuit the electrode tabs.. .
Sk Innovation Co., Ltd.
Multi-parametric analysis of snore sounds for the community screening of sleep apnea with non-gaussianity index
A parameter quantifying deviation from gaussianity distribution of a patient's sounds, in the form of a non-gaussianity distribution index, may be used to assist in diagnosis of sleep dysfunction such as osahs. A method for diagnosing a sleeping disorder of a subject includes processing a digitized audio signal from the subject with at least one electronic processor.
The University Of Queensland
Method for discovering relationships in data by dynamic quantum clustering
Data clustering is provided according to a dynamical framework based on quantum mechanical time evolution of states corresponding to data points. To expedite computations, we can approximate the time-dependent hamiltonian formalism by a truncated calculation within a set of gaussian wave-functions (coherent states) centered around the original points.
The Board Of Trustees Of The Leland Stanford Junior University
Noise estimation apparatus, noise estimation method, noise estimation program, and recording medium
A noise estimation apparatus which estimates a non-stationary noise component on the basis of the likelihood maximization criterion is provided. The noise estimation apparatus obtains the variance of a noise signal that causes a large value to be obtained by weighted addition of the sums each of which is obtained by adding the product of the log likelihood of a model of an observed signal expressed by a gaussian distribution in a speech segment and a speech posterior probability in each frame, and the product of the log likelihood of a model of an observed signal expressed by a gaussian distribution in a non-speech segment and a non-speech posterior probability in each frame, by using complex spectra of a plurality of observed signals up to the current frame..
Nippon Telegraph And Telephone Corporation
Adaptive noise filter
A method for applying a filter to data to improve data quality and/or reduce file size. In one example, a region of interest of an image is identified.
Systems and methods for setting initial display settings
A method for applying a filter to data to improve data quality and/or reduce file size. In one example, a region of interest of an image is identified.
Microcalcification detection and classification in radiographic images
An analysis of a digitized image is provided. The digitized image is repeatedly convolved to form first convolved images, which first convolved images are convolved a second time to form second convolved images.
Organic electroluminescent materials and devices
Organometallic compounds comprising an imidazole carbene ligand having a n-containing ring fused to the imidazole ring are provided. In particular, the n-containing ring fused to the imidazole ring may contain one nitrogen atom or more than one nitrogen atom.
Universal Display Corporation
Method and supplying interpolation point data for a data-based function model calculation unit
A method for identifying a set of interpolation point data points from training data for a sparse gaussian process model, encompassing the following tasks: successively selecting training data points from the set of training data for acceptance into or exclusion from a set of interpolation point data points in accordance with a selection criterion; and terminating selection when a termination criterion exists; the selection criterion depending on a divergence between a target value of the selected training data point and a function value, at the selected training data point, of the gaussian process model based on the respectively current set of interpolation point data points.. .
Robert Bosch Gmbh
Method of analysing flight data
The invention relates to a method of analysing flight data recorded during n flights of at least one aircraft, by means of a flight data recorder of an aircraft, the data being grouped together by flight i in a signature vector of the flight xi of size d, the components of which correspond to data recorded during said flight i of the aircraft, a flight i being thus defined by the signature vector xi, the method comprising the following steps: gaussian kernel entropy component analysis of the flight signatures xi to obtain a zone of normal flights and classifying the flight signatures xi with respect to their distance to said zone; determining, for each flight i, an abnormality score zi defined by the distance of a flight signature xi with respect to the zone of normal flights; detecting, as a function of the abnormality score zi, at least one abnormal flight.. .
Sagem Defense Securite
Multiphase coaxial superconducting cables and corc degaussing system
A superconducting cable and connection structure includes one or more superconducting cables. Each cable has superconducting tapes wound about a former in a plurality of phases.
Advanced Conductor Technologies Llc
Image interpolation method and image interpolation device and image apparatus using the same
An image interpolation method and an image interpolation device and an image apparatus using the image interpolation method are provided. The image interpolation method uses a probabilistic neural network model to perform an adaptive interpolation on an image.
National Central University
Method and demagnetizing transformer cores in closed loop magnetic current sensors
Automated degaussing methods and apparatus are presented for degaussing a magnetic core in close loop fashion, in which a plurality of pulses are applied to a compensation coil magnetically coupled with the core with duration or energy being decreased in succeeding pulse cycles according to a discrete feedback algorithm, and with individual pulse polarities being set according to core magnetization polarity measured subsequent to an immediately preceding pulse.. .
Texas Instruments Deutschland Gmbh
Model calculation unit and control unit for calculating a data-based function model having data in various number formats
A model calculation unit for calculating a data-based function model, in particular a gaussian process model, in a control unit, including: a processor core to carry out a strictly hardware-based calculation of an algorithm for a data-based function model, the data-based function model being calculated using provided calculation data, in particular hyperparameters and node data; and a strictly hardware-based conversion unit to provide the processor core with at least a portion of the calculation data, in particular the provided node data, in a predefined number format.. .
Robert Bosch Gmbh
Real time processing of video frames
A method and system for real time processing of a sequence of video frames. A current frame in the sequence and at least one frame in the sequence occurring prior to the current frame is analyzed.
International Business Machines Corporation
Cooperative spectrum sensing apparatus and cooperative spectrum sensing method
Disclosed is a cooperative spectrum sensing (css) method. The css method includes receiving, by a detector of secondary users, observation vectors which are use state information of a spectrum band allocated to a pu in a cognitive radio (cr) network, generating, by the detector, an analysis result value with respect to each of the observation vectors using glrt with respect to order statistics of reception samples taking non-gaussian noise into consideration, transmitting, by the detector, the analysis result value to a fusion center unit; and fusing, by the fusion center unit, the analysis result value to determine whether the spectrum band is used..
Research & Business Foundation Sungkyunkwan University
User modeling using fft-based time-series processing
A method to combine and visualize fft power spectrum data that utilizes more sensor information and provides a richer output display is provided. In some embodiments, all sensors are analyzed using fft simultaneously in the frequency ranges of 0.01 hz to 100 hz.
Leveraging to minimize the expected inverse assets
The question of how much should be placed at risk on a given investment, relative to the total assets available for investment, is basically that of determining the optimal leverage. The approach taken by the method described in this specification is to optimize the expected future inverse assets, conditioned on the assets having some estimated linear return distribution.
Magnetic material for collecting magnetic particles and utilization thereof
For collecting magnetic particles, there is used a magnetic material including a plurality of magnets that are arranged in contact one with another in parallel to a direction of magnetization in such a manner that south and north poles of adjacent magnets are reversed alternately or a magnetic material having at least one peak of a magnetic force in a magnetic pole surface, and the peak magnetic force is 600 gausses or more.. .
Lsi Medience Corporation
Method and system for mapping bit sequences
A method of mapping a plurality of different bit sequences to a plurality of different signal points in a constellation, the number of bit sequences being greater than the number of signal points. The method includes, for a device in a telecommunication network, the acts of: determining, for each signal point in the constellation, a number of bit sequences to be mapped to each signal point, the numbers of bit sequences being distributed according to a discrete gaussian distribution among the constellation, selecting in the plurality of bit sequences, for each signal point in the constellation, a set including the determined number of bit sequences (u) that minimize the maximal hamming distance among the selected sets..
Electrical generator with rotational gaussian surface magnet and stationary coil
A gaussian surface neodymium magnet of at least one or a plurality of spherical or any other gaussian surface configuration that is seated in the center of a stationary coil and whereby said magnet or plurality of magnets remains free to rotate about its axis within said coil; and whereby said magnet is capable of continuous, interrupted, or mechanically pulsed movement for the generation of electrical induced current within said stationary coil; and said magnetic field of said magnet is concentrated and focused by at least one or a plurality of focus neodymium magnets for induced current enhancement; and whereby focus magnet fields are inline and parallel to said center rotational magnet(s).. .
Method for estimating distribution curve of storing state of solid state storage device
A method for estimating a distribution curve of a first storing state of a solid state storage device includes the following steps. Firstly, plural threshold voltage intervals are provided.
Computing system with power estimation mechanism and operation thereof
A computing system includes: an antenna configured to receive a receiver signal for representing a serving signal and an interference signal; a communication unit, coupled to the antenna, configured to: calculate a signal likelihood from the receiver signal based on a gaussian approximation mechanism; calculate an interference power estimate based on the signal likelihood for characterizing the interference signal; and estimating the serving signal based on the interference power estimate.. .
System and distribution free target detection in a dependent non-gaussian background
A method for target detection includes: receiving input data via an input signal; generating a histogram from the received data by a processor; rank-ordering the received data based on power or amplitude of the received input signal; comparing the ranked data received in a current time period to the ranked data received in a previous time period to calculate a bivariate conditional exceedance function (bcef); utilizing the calculated bcef to estimate a gumbel copula parameter; accumulating a log-likelihood statistic from the estimated gumbel copula parameter and the generated histogram; comparing the log-likelihood statistic with a threshold value; and determining a detection of the target, when the log-likelihood statistic is below the threshold value.. .
Multivariate yield calculator for wafer integrated circuit fabrication and use thereof
A multivariate yield calculator for wafer integrated circuit (ic) fabrication and a method of generating a multivariate yield forecast using the multivariate yield calculator. One embodiment of the multivariate yield calculator includes: (1) a gaussian computer configured to compute a mean vector and a covariance matrix from multivariate performance characterizations having a multivariate distribution over a plurality of wafer ics, and (2) an integrator configured to integrate a probability distribution function (pdf) based on the mean vector and the covariance matrix over a multivariate performance bin, thereby generating a multivariate yield forecast..
Image retrieval and authentication using enhanced expectation maximization (eem)
Technologies are generally presented for employing enhanced expectation maximization (eem) in image retrieval and authentication. Using uniform distribution as initial condition, the eem may converge iteratively to a global optimality.
Radio receiver for detecting an additive white gaussian noise channel
The method disclosed herein is implemented in a radio receiver to detect an awgn channel, where the radio receiver comprises a rake receiver. The radio receiver receives signals transmitted via a propagation channel from a transmitter, and determines that the propagation channel is an awgn channel when a filtered version of a minimum value of a metric is lower than a threshold value.
System and method having transparent composite model for transform coefficients
To better handle the flat tail phenomenon commonly seen in transform coefficients such as dct coefficients, a system and method having a model dubbed a transparent composite model (tcm) are described. Given a sequence of transform coefficients, a tcm first separates the tail of the sequence from the main body of the sequence.
Bayesian approach for gas concentration reconstruction based on tunable diode laser absorption spectroscopy
Systems and methods construct a 2 dimensional (2d) gas concentration map (image) from data from one or more laser based absorption projection paths. Embodiments use a bayesian approach to construct a 2d gas concentration map of a combustion region cross section plane by modeling the 2d map as a gaussian process (gp).
Method and apparatuses for algorithm on qam coherent optical detection
Blind polarization demultiplexing algorithms based on complex independent component analysis (ica) by negentropy maximization for quadrature amplitude modulation (qam) coherent optical systems are disclosed. The polarization demultiplexing is achieved by maximizing the signal's non-gaussianity measured by the information theoretic quantity of negentropy.
Integrated quantum-random noise generator using quantum vacuum states of light
An integrated quantum random noise source includes a substrate, an optical oscillator that may be integral to the substrate coupled by an optical waveguide to an optical directional coupler. The optical directional coupler has two outputs that are coupled by optical waveguides to a pair of photodetectors that are part of a balanced photodetector.
Computer-implemented methods and systems for performance tracking
Computer-implemented methods and systems enable real-time performance comparisons between users and peers by tracking user beliefs, observations, and responses to performance issues. The system operates in a series of cycles, where each user is asked to input outcome information for each cycle.
Method, apparatus, and program for generating training speech data for target domain
A method and system for generating training data for a target domain using speech data of a source domain. The training data generation method including: reading out a gaussian mixture model (gmm) of a target domain trained with a clean speech data set of the target domain; mapping, by referring to the gmm of the target domain, a set of source domain speech data received as an input to the set of target domain speech data on a basis of a channel characteristic of the target domain speech data; and adding a noise of the target domain to the mapped set of source domain speech data to output a set of pseudo target domain speech data..
System and selecting an optical path in an optical network
The invention proposes a system and method for selecting an optimal optical path through which to transmit an optical signal, the optimal optical path is one of a plurality of optical paths in a transparent optical network. Each of the plurality of optical paths includes a plurality of optical elements.
Method and describing image
A method and apparatus for describing an image are disclosed. The method for describing an image according to an embodiment of the invention includes: transforming an image from a bgr color space into a gaussian derivative color model; and transforming the image from the gaussian derivative color model into an optical reflection invariant color space, wherein the process of transforming the image from the gaussian derivative color model into the optical reflection invariant color space includes: determining, for each pixel on the image, color channels of the pixel corresponding to the optical reflection invariant color space according to a first coefficient and a second coefficient of the pixel in the gaussian derivative color model.
Motion estimation system utilizing point cloud registration
A system and method of estimation motion of a machine is disclosed. The method may include determining a first point cloud and a second point cloud corresponding to an environment in a vicinity of the machine.
Method and enhancing color
Embodiments of the present invention disclose a method and an apparatus for enhancing color, and relate to the image processing field, so as to solve a case of over enhancement on a region having high luminance in an original image which is caused after enhancement processing is performed. A specific solution is: obtaining a luminance component of a currently processed image; performing gaussian filtering processing on the luminance component to obtain an illumination component; obtaining a first reflection component of the currently processed image according to the luminance component and the illumination component; performing enhancement adjustment on the first reflection component to obtain a second reflection component; obtaining a luminance gain according to the luminance component and the second reflection component; and performing enhancement processing on the currently processed image, to obtain a first enhanced image.
Sub-diffraction limit image resolution and other imaging techniques
The present invention generally relates to sub-diffraction limit image resolution and other imaging techniques. In one aspect, the invention is directed to determining and/or imaging light from two or more entities separated by a distance less than the diffraction limit of the incident light.
Method and device for creating a nonparametric, data-based function model
A method for ascertaining a nonparametric, data-based function model, in particular a gaussian process model, using provided training data, the training data including a number of measuring points which are defined by one or multiple input variables and which each have assigned output values of at least one output variable, including: selecting one or multiple of the measuring points as certain measuring points or adding one or multiple additional measuring points to the training data as certain measuring points; assigning a measuring uncertainty value of essentially zero to the certain measuring points; and ascertaining the nonparametric, data-based function model according to an algorithm which is dependent on the certain measuring points of the modified training data and the measuring uncertainty values assigned in each case.. .
Method and device for creating a fucntion model for a control unit of an engine system
A computerized method for creating a function model based on a non-parametric, data-based model, e.g., a gaussian process model, includes: providing training data including measuring points having one or multiple input variables, the measuring points each being assigned an output value of an output variable; providing a basic function; modifying the training data with the aid of difference formation between the function values of the basic function and the output values at the measuring points of the training data; creating the data-based model based on the modified training data; and providing the function model as a function of the data-based model and the basic function.. .
Physically-based financial analysis and/or forecasting methods, apparatus, and systems
Methods and apparatus for modeling well production. Such methods comprise modeling a production of a well (perhaps an open universe, generative model).
Method and control for carrying out a calculation of a data-based function model
A method for carrying out a calculation of a data-based function model, in particular a gaussian process model, the data-based function model being defined by predefined hyperparameters and node data, multiple input variables being assigned to one output variable and having a sum of terms, each of which depend on one of the input variables, including the following: determining at least one input variable to be varied, for which multiple output values of a corresponding output variable are to be determined; calculating the sum of the terms, which depend on the input variables not to be varied; providing multiple input values for each of the determined at least one input variable to be varied; and ascertaining multiple output values of the output variable for the provided multiple input values, each based on the calculated sum of the terms, which depend on the input variables not to be varied.. .
System and video summarization and navigation based on statistical models
The disclosed method calculates video time density functions based on inter-frame mutual information or other similarity measures. The method includes acquiring a video sequence from memory, computing mutual information or other similarity measures between two consecutive frames of the video sequence, and constructing a video temporal density function based on the mutual information or similarity measures.
Stage apparatus, drawing apparatus, and manufacturing article
A stage apparatus includes: a stage; a linear motor configured to drive the stage; a magnetic shield unit configured to surround the linear motor to shield a magnetic field generated by a magnet of the linear motor; and a degaussing coil located in a space surrounded by the magnetic shield unit and configured to degauss the magnetic shield unit.. .
The present invention relates to methods for detecting for the presence of an agent that putatively causes or potentiates dna damage comprising subjecting a cell (containing a dna sequence encoding gaussia luciferase (gluc) reporter protein operatively linked to a human gadd45α gene promoter and a human gadd45α gene regulatory element arranged to activate expression of the dna sequence in response to dna damage) to an agent; and monitoring the expression of the gluc reporter protein from the cell. The invention also concerns expression cassettes, vectors and cells which may be used according to such a method and also modified media that may be employed in assays and in preferred embodiments of the method of the invention..
Panchromatic sharpening spectral image based on fusion of overall structural information and spatial detail information
The present invention provides a panchromatic sharpening method of spectral image based on fusion of overall structural information and spatial detail information, comprising: performing brightness linear stretching on a panchromatic image, so as to set the variance of the panchromatic image to be equal to the variance of said spectral image; respectively interpolating n components of the spectral image so as to generate an interpolation image series having the same resolution as that of the panchromatic image; subtracting the interpolation image series from the panchromatic image after said linear stretching to obtain difference images; performing gauss filtering on the difference images, thereby obtaining difference tendency images; and, respectively subtracting the difference tendency image series from the panchromatic image after said linear stretching, thus obtaining fused images. The method can maintain both spectral fidelity and texture detail fidelity of the fused images, support high computation speed, and has wide applicability..
Production analysis and/or forecasting methods, apparatus, and systems
Methods and apparatus for modeling well production. Such methods comprise modeling a production of a well (perhaps an open universe, generative model).
Fixing device and image forming apparatus
A fixing device includes an exciting coil and a heat generator disposed opposite the exciting coil. The heat generator includes a heat generation layer disposed opposite the exciting coil to generate heat by a magnetic flux from the exciting coil and a temperature sensitive magnetic body disposed opposite the exciting coil via the heat generation layer to obtain and lose magnetism at a temperature defined by a curie temperature by composition adjustment to selectively create a heating region and a non-heating region of the heat generation layer.
Method and system for inverse halftoning utilizing inverse projection of predicted errors
A method and system generates a reconstructed gray scale image of pixels from a binary image of pixels by reverse propagating an error, in a diffused manner, to the pixels of the binary image to create pixels representing a reconstructed gray scale image. The reverse propagation of the error determines if a current pixel has a first predetermined value; sets an error value to a first error value if the current pixel has the first predetermined value; sets the error value to a second error value if the current pixel does not have the first predetermined value; and propagates a diffused error value to a pixel neighboring the current pixel to create an error diffused pixel, the diffused error value being a product of the set error value and a weighting coefficient associated with the pixel neighboring the current pixel.