185 results about "First quantization" patented technology

A method and apparatus for performing video compression and decompression using dynamic quantization and / or encoding. According to one aspect of the compression method, an image is recursively filtered into its constituent components each represented by a matrix of coefficients. Next, the level of correlation of a first of the matrices of coefficients is determined. Based on the level of correlation of this first coefficient matrix, one of a first quantization technique and a second quantization technique is selected. The first coefficient matrix is then quantized using the selected quantization technique.According to another aspect of the compression method, an image is digitally filtered into its constituent components, each represented by a matrix of coefficients. At least certain matrices are quantized to generated a first quantized matrix. The first quantized matrix is then recursively divided until the first quantized matrix or each of the resulting submatrices is sufficiently dense or sufficiently sparse. Each of the sufficiently dense matrices are encoded using a first technique, while each of the sufficiently sparse matrices are encoded a second technique.

Provided is an apparatus and method for encoding and decoding using alternative transform units according to the correlation of residual signals. The video encoding apparatus includes a first transforming unit for performing discrete cosine transform (DCT), first quantization, first inverse quantization, and inverse DCT on a block basis onto residual coefficients generated after intra frame prediction or inter frame prediction; a second transforming unit for performing discrete sine transform (DST), second quantization, second inverse quantization, and inverse DST on a block basis onto the residual coefficients; a selecting unit for selecting one having a high compression rate between the first and second transforming units for each block through performing rate-distortion optimization; and a flag marking unit for recording information about the selected transforming unit at a flag bit provided on a macroblock basis.

A video encoding method includes encoding n pictures included in a video image using a first quantization parameter, calculating first number-of-encoded-bits information indicating number of encoded bits of every picture type, multiplexing a set frame rate by an average first-number-of-encoded-bits per picture calculated from the first-number-of-encoded-bits information to obtain a first bit rate, encoding the n pictures using a second quantization parameter, calculating second number-of-encoded-bits information indicating number of encoded bits of every picture type, multiplexing the set frame rate by an average second number-of-encoded-bits per picture calculated from the first-number-of-encoded-bits information to obtain a second bit rate, calculating a third quantization parameter, using the first bit rate, first quantization parameter, second bit rate, second quantization parameter and target bit rate, and performing the rate control using the third quantization parameter as an initial value.

A video encoder controlling rate of each frame in a current frame set (Group of Picture, GOP), and method thereof. The video encoder comprises a frame grouping device, a GOP initialization device, and a GOP encoding device. The frame grouping device allocates a target bit budget RGOP to the current frame set. The GOP initialization device is coupled to the frame grouping device, and estimates a first quantization parameter QP1 based on the target bit budget RGOP and complexity of the current frame set. The GOP encoding device is coupled to the GOP initialization device, and encoding a frame in the current frame set with the second quantization parameter QP2 to generate output data.

The present invention provides a decoding device for decoding an LDPC (Low Density Parity Check) code. The decoding device include: a first operation unit for performing a check node operation for decoding the LDPC code, the operation including an operation of a nonlinear function and an operation of an inverse function of the nonlinear function; and a second operation unit for performing a variable node operation for decoding the LDPC code. The first operation unit includes a first converting unit for converting a first quantization value assigned to a numerical value into a second quantization value representing a numerical value with a higher precision than the first quantization value, and a second converting unit for converting the second quantization value into the first quantization value. In processing performed as the check node operation and the variable node operation, the first operation unit and the second operation unit use the second quantization value in processing from after the operation of the nonlinear function to the operation of the inverse function, and use the first quantization value in the other processing.

A plurality of macroblocks constituting coded data are inverse quantized using a first quantization matrix that is used when coding a picture, to obtain a plurality of sets of coefficient data. The first quantization matrix is converted to a second quantization matrix using a first conversion value and a second conversion value, where the first conversion value is for converting a low frequency coefficient corresponding to a frequency lower than a predetermined frequency among a plurality of coefficients shown by the first quantization matrix, and the second conversion value is for converting a high frequency coefficient among the plurality of coefficients and is larger than the first conversion value (Step S408). When the second quantization matrix is a matrix for increasing a coding rate of the coded data, a converted scale is calculated by multiplying a quantization scale corresponding to at least one macroblock by β1 (≧1). At least one part of the plurality of sets of coefficient data is quantized using the second quantization matrix and a calculated converted scale that corresponds to a macroblock corresponding to the at least one part of the plurality of sets of coefficient data.

A transducer amplification circuit may include a preamplifier circuit with a signal input receiving a transducer signal to provide an amplified transducer signal comprising audible frequency components and ultrasonic frequency components. The transducer amplification circuit may include a first sigma-delta modulator configured to sample and quantize the amplified transducer signal to generate a first digital transducer signal comprising a first quantization noise signal. The first sigma-delta modulator may include a first noise transfer function having a high pass response in at least a portion of an audible frequency range to push the quantization noise signal to ultrasonic frequencies. A second sigma-delta modulator is configured to sample and quantize the amplified transducer signal to generate a second digital transducer signal comprising a second quantization noise signal. The second sigma-delta modulator may include a second noise transfer function with a magnitude minimum placed at the ultrasonic frequencies.

A method for controlling a bit rate of an image is provided. The method comprises analyzing a motion level of the inputted image; classifying the inputted image into a picture category according to the image's number of intra-blocks; and controlling the image's bit rate by allocating a first quantization parameter value to an input frame when the inputted image is classified as a motion picture.

Digital signals are converted between a first and second format by a conversion process including generating coefficients representing the digital signals. The coefficients may be discrete cosine transform coefficient generated during encoding / transcoding of MPEG signals. The coefficients are subject to quantization by generating a dither signal that is added to the coefficients before quantization to generate a quantized signal. Preferably, each coefficient is first subject to a first quantization in the absence of any dither signal added to generate an undithered quantized coefficient. If the undithered quantized signal is equal to zero the undithered quantized coefficient is taken as the output quantized signal. If the undithered quantized coefficient is different from zero, the dither signal is added and the dithered coefficient thus obtained is subject to quantization to generate the output quantized signal.

A method of decoding a video includes determining an initial value of a quantization parameter (QP) used to perform inverse quantization on coding units included in a slice segment, based on syntax obtained from a bitstream; determining a slice-level initial QP for predicting the QP used to perform inverse quantization on the coding units included in the slice segment, based on the initial value of the QP; and determining a predicted QP of a first quantization group of a parallel-decodable data unit included in the slice segment, based on the slice-level initial QP.

An encoding apparatus and method prevents image deterioration generated by repeatedly performing encoding and decoding by using a quantization matrix for quantization which is different from a quantization matrix for inverse quantization. In the encoding apparatus, a matrix selector selects a first quantization matrix in accordance with the complexity of an encoded picture pattern, and supplies a quantizer with information on the selected first quantization matrix. A matrix unit rewrites, by information on a second quantization matrix, the information described in an encoded stream output from a variable length code unit so that a quantization matrix to be used for inverse quantization is a second quantization matrix different from the first quantization matrix.

A method of optimizing an encoded video stream comprising one or more video frames, each video frame comprising a plurality of macroblocks, each macroblock comprising a plurality of pixels. The method includes receiving an encoded macroblock, decoding the encoded macroblock, and extracting a first quantization parameter. The first quantization parameter corresponds to quantization settings originally used for compressing the encoded macroblock. The method also includes computing a second quantization parameter based at least in part on the first quantization parameter, re-encoding the decoded macroblock based on the second quantization parameter, and providing the re-encoded macroblock.

A time-to-digital converter includes low and high resolution time-to-digital converters for providing both high resolution and wide measurement range. The low resolution time-to-digital converter measures a time difference between first and second signals with a first quantization step. The high resolution time-to-digital converter measures the time difference between the first and second signals with a second quantization step that is smaller than the first quantization step. The low resolution time-to-digital converter has a wider measurement range than the high resolution time-to-digital converter

A rate conversion apparatus 10 includes a quantization parameter setting unit 107 and a rounding threshold value setting unit 108. The quantization parameter setting unit 107 determines a quantization parameter change amount according to a code amount of encoded data output from a variable length encoding unit 109 and a target code amount. The quantization parameter setting unit 107 adds a first quantization amount used in an image before conversion to the quantization parameter change amount, to generate a second quantization parameter to be used in re-quantization processing in a quantization unit 105. The rounding threshold value setting unit 108 sets the rounding threshold value according to the quantization parameter change amount. The quantization unit 105 performs re-quantization using the second quantization parameter and the rounding threshold value.

An encoding apparatus and method prevents image deterioration generated by repeatedly performing encoding and decoding by using a quantization matrix for quantization which is different from a quantization matrix for inverse quantization. In the encoding apparatus, a matrix selector selects a first quantization matrix in accordance with the complexity of an encoded picture pattern, and supplies a quantizer with information on the selected first quantization matrix. A matrix unit rewrites, by information on a second quantization matrix, the information described in an encoded stream output from a variable length code unit so that a quantization matrix to be used for inverse quantization is a second quantization matrix different from the first quantization matrix.

The invention discloses a secure communication system based on a wireless channel characteristic. The system comprises a first communication terminal and a second communication terminal which communicate with each other, wherein the first communication terminal and the second communication terminal transmit data which comprise a pilot frequency sequence to each other; and the first communication terminal comprises a first channel estimation module, a first quantization module, a first negotiation module, a first confidential amplification module, a first phase rotation secret key mapping module and a first phase rotation encryption module. By the system, secure data communication is realized.

In an image encoder, a first quantization section which is selected when normal image quality is required performs quantization by dividing a wavelet transformation coefficient by a quantization step size and by thereafter rounding down a fraction thereof. On the other side, a second quantization section which is selected when high image quality is required performs quantization by dividing a wavelet transformation coeffient by a quantization step size, by adding 0.5 to the dividing result, and by thereafter rounding down a fraction thereof. Therefore, the width of a dead zone where coefficients are quantized to a value of 0 is narrower than that in the first quantization section, and higher image quality is obtained accordingly.

A rate controlling method for computing a reference quantization parameter is provided, for use in a transcoder having a variable length decoder, an inverse quantizer, a quantizer and a variable length encoder. The rate controlling method comprising: receiving an input quantization parameter and motion information for each of the macroblocks from the variable length decoder; analyzing the similarity of motion information between a current macroblock and its neighboring macroblocks to compute a scaling factor for the current macroblock when allocated within P- and B-pictures; computing a bit difference between a target outputting bit stream and a real outputting bit stream; estimating the fullness of a virtual buffer to encode the current macroblock in view of the scaling factor; and computing the reference parameter based on a target bit rate, the first quantization parameter and the bit difference.

A quantizing method is provided that includes quantizing an input signal by selecting one of a first quantization scheme not using an inter-frame prediction and a second quantization scheme using the inter-frame prediction, in consideration of one or more of a prediction mode, a predictive error and a transmission channel state.

A cascaded analog-to-digital converter includes a first stage delta-sigma modulator to quantize an input signal and produce a first quantization error signal. A second, coupled multi-stage delta-sigma modulator quantizes less significant bits of the input signal, wherein a first quantization stage is coupled to the first quantization error signal to quantize the next most significant bits of the input signal and produce a second quantization error signal. A second quantization stage is coupled to the second quantization error signal to quantize the least significant bits of the input signal and produce a third quantization error signal. A noise-shaping filter is coupled to the third quantization error signal, the output of which is subtracted from the first quantization error signal to produce said input of the first quantization stage.

A method of frame-layer rate control in a video encoder includes allocating a target characteristic for a current frame, performing a first encoding stage for encoding macroblocks of the current frame by utilizing a first quantization parameter to thereby generate a residual signal and an actual characteristic for the current frame corresponding to being encoded according to the first quantization parameter, and testing whether or not the actual characteristic for the current frame corresponding to being encoded with the first quantization parameter is within a predetermined range of the target characteristic for the current frame.

Method and apparatus for encoding video is described. In one example, average of motion vectors for each of a plurality of blocks is maintained over a threshold number of inter-coded frames in the video. The running average of motion vectors for each of the plurality of blocks is compared to a threshold value. Each of the plurality of blocks the running average of which does not satisfy the threshold value is encoded using a first quantization parameter. Each of the plurality of blocks the running average of which satisfies the threshold value is encoded using a second quantization parameter. The second quantization parameter results in a coarser quantization of transformed coefficients than the first quantization parameter.

A time-to-digital converter includes low and high resolution time-to-digital converters for providing both high resolution and wide measurement range. The low resolution time-to-digital converter measures a time difference between first and second signals with a first quantization step. The high resolution time-to-digital converter measures the time difference between the first and second signals with a second quantization step that is smaller than the first quantization step. The low resolution time-to-digital converter has a wider measurement range than the high resolution time-to-digital converter.

An apparatus for image coding using tree-structured vector quantization based on a wavelet transform and a method therefor are provided. The apparatus for image coding using a tree-structured vector quantization based on wavelet transform has a wavelet transform unit, a vector construct unit, an error vector unit, a scan unit, a first quantization unit and a second quantization unit. The wavelet transform unit wavelet transforms an input image signal. The vector construct unit constructs vectors, each having a tree structure in a different direction, using the wavelet transformed result. The error vector generation unit generates a plurality of error vectors by setting one of the vectors as a basic vector and performing a calculation on each of the vectors remaining with respect to the basic vector. The scan unit scans the coefficients of each of the basic vector and error vectors in a different direction. The first vector quantization unit generates a first codebook for the basic vector scanned in the scan unit, quantizes the scanned basic vector using the first codebook, and outputs the quantization result as the index of the first codebook. The second vector quantization unit generates a second codebook for the error vectors scanned in the scan unit, quantizes the scanned error vectors using the second codebook, and outputs the quantization results as the indices of the second codebook. According to the apparatus and method, the advantages of wavelet vector quantization and zerotree-coding are maximized so that the size of a codebook is reduced and the coding performance is improved.

The image processing method for performing halftoning of a digital image constituted by an array of pixels having grayscale values which correspond to a content of the digital image, the method comprises the steps of: grouping the pixels constituting the digital image into a first group comprising pixels in pixel positions from which a quantization error generated through quantization is diffused to a peripheral pixel, and a second group comprising pixels in pixel positions from which the quantization error generated through quantization is not diffused to a peripheral pixel; performing a first quantization process on the pixels belonging to the first group using a threshold matrix; determining the quantization error generated during the first quantization process; diffusing the quantization error obtained in the quantization error determining step to at least one non-quantized pixel belonging to the second group which is adjacent to the pixel subjected to the first quantization process; and performing a second quantization process, using a threshold matrix, on the non-quantized pixel to which an error value is diffused during the quantization error diffusing step.

A video encoding method includes encoding n pictures included in a video image using a first quantization parameter, calculating first number-of-encoded-bits information indicating number of encoded bits of every picture type, multiplexing a set frame rate by an average first-number-of-encoded-bits per picture calculated from the first-number-of-encoded-bits information to obtain a first bit rate, encoding the n pictures using a second quantization parameter, calculating second number-of-encoded-bits information indicating number of encoded bits of every picture type, multiplexing the set frame rate by an average second number-of-encoded-bits per picture calculated from the first-number-of-encoded-bits information to obtain a second bit rate, calculating a third quantization parameter, using the first bit rate, first quantization parameter, second bit rate, second quantization parameter and target bit rate, and performing the rate control using the third quantization parameter as an initial value.

Provided is an encoding method capable of reducing a blocking phenomenon that occurs when moving-images are encoded and decoded. The method includes: performing a first encoding operation on an input image using a first quantization coefficient; generating a reconstructed image of the encoded image; calculating a difference between corresponding partial images of the reconstructed image and the input image; and performing a second encoding operation on the calculated difference using a second quantization coefficient smaller than the first quantization coefficient. Using the second encoded difference, a decoding unit can reconstruct an image of a block boundary portion more elaborately with a small number of bits, thereby significantly reducing the blocking phenomenon in the decoding operation.

A computer-implemented method includes receiving an encoded video frame, decompressing the received encoded video frame, extracting a first quantization parameter (QP) from the decompressed video frame, and acquiring a delta QP based on the first QP. The method also includes acquiring a second QP based on the delta QP and the first QP, compressing the decompressed video frame based on the second QP, and providing the compressed video frame. The first QP corresponds to quantization settings originally used for compressing the encoded video frame. And the second QP corresponds to quantization settings for compressing the decompressed video frame.

Provided is a process including: segmenting a frame of video into a plurality of blocks; transforming each of the blocks to form respective transform matrices; for a given transform matrix, quantizing the given transform matrix with a first quantization matrix to form a first quantized transform matrix; quantizing the given transform matrix a second time with a second quantization matrix to form a second quantized transform matrix; and forming a sequence of hybrid quantized transform matrix values from part of the first quantized transform matrix and part of the second quantized transform matrix.