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81results about How to "Improve data compression ratio" patented technology

Color halftone image compressing method based on three-dimensional matrix WDCT transformation

The invention discloses a color halftone image compressing method based on three-dimensional matrix WDCT transformation. The color halftone image compressing method based on the three-dimensional matrix WDCT transformation comprises the steps that (1) color space transformation is carried out on input color halftone images; (2) three-dimensional matrix WDCT forward transformation is carried out; (3) statistics is carried out, and long run coefficient position scanning rules are established; (4) coefficients are rearranged; (5) run Huffman (RLH) coding is carried out; (6) code streams are output; (7) the code streams are input; (8) RLH decoding is carried out; (9) the coefficients are restored; (10) three-dimensional matrix WDCT inverse transformation is carried out; (11) color space inverse transformation is carried out; (12) decompressed images are output. According to the color halftone image compressing method based on the three-dimensional matrix WDCT transformation, the information redundancy and the correlation, between a space structure and channels, of the color halftone images are taken into consideration, the correlation among all the channels is removed, and the distribution of image energy is made to be relatively concentrated. The long run coefficient position scanning rules are not limited by the content of the images, color representation models of the images and the color halftone technology, and thus the color halftone image compressing method has wide applicability.
Owner:XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY

Pipeline magnetic flux leakage testing on-line data compression method

The invention provides a pipeline magnetic flux leakage testing on-line data compression method mainly used for compressing mass data in pipeline magnetic flux leakage on-line testing, and belongs to the field of signal processing. The method comprises the following steps that (1) detected magnetic flux leakage data are divided into data segments having the same number of bytes; (2) whether each data segment contains pipeline defect information is judged by means of average absolute deviation statistical magnitude, and only the data segments containing the defect information are stored; (3) if multiple data segments contain a large amount of redundant signal data, main content of the data segments is analyzed, and only the first little main content is stored; (4) integral promotion wavelet decomposition is conducted on each detecting signal of each data segment after two-stage compression, threshold processing is conducted on wavelet coefficients produced after decomposition, then adaptive coding is conducted on the processed wavelet coefficients, and finally only bit stream data after corresponding coding are stored. Therefore, the method can achieve high-efficiency compression of pipeline magnetic flux leakage testing on-line data.
Owner:SOUTHWEST PETROLEUM UNIV

Crack image compression sampling method based on generative adversarial network

ActiveCN111711820AReduce ill-posednessAccurate Fracture Feature ReconstructionDigital video signal modificationNeural architecturesPattern recognitionAlgorithm
The invention provides a crack image compression sampling method based on a generative adversarial network. The method comprises the steps of network architecture design of a generative adversarial network, crack image generator modeling for representing a crack image and low-dimensional vector mapping relationship, adjustment and optimization of adversarial training hyper-parameters, design of acompressed observation matrix of compressed sampling, solution of an optimal low-dimensional vector and the like. According to the method, the trained crack image generator of the generative adversarial network is used as a physical constraint to realize the decompression reconstruction of the image, the sparsity of the crack image required by the traditional compressed sampling method is not required, and the application range is wider. After the generative adversarial network learns the mapping relation between the crack image and the low-dimensional vector, the low-dimensional vector is optimized based on a gradient descent method, and rapid solving of image decompression reconstruction is achieved. The method has unique advantages in the aspects of crack image reconstruction precision,reconstruction speed and the like under a relatively high compression ratio, and is relatively high in noise robustness.
Owner:HARBIN INST OF TECH

Data compression and decompression method on basis of orthogonal wavelet packet transform and rotating door algorithm

The invention discloses a two-stage data compression and decompression method on the basis of orthogonal wavelet packet transformation and a rotating door algorithm. Data compression comprises the following steps of: (1) carrying out orthogonal wavelet packet transformation on original data to obtain a wavelet packet coefficient; (2) carrying out threshold processing on the wavelet packet coefficient obtained in the step (1); and (3) carrying out secondary compression on the wavelet packet coefficient subjected to threshold processing by adopting the rotating door algorithm. Compressed data is stored into a historical database or a disk. Decompression on the compressed data comprises the following steps of: (4) carrying out linear interpolation on the compressed data and recovering to obtain primary compressed data; and (5) carrying out wavelet packet reconstitution on the primary compressed data to obtain the original data. The invention solves the problem of difficulty in compressing a nonstationary analog signal in a large-scale real-time database and provides the data compression and decompression method which is simple to implement, has a high data compression ratio and has an obvious compressing effect on the nonstationary analog signal.
Owner:GUODIAN NANJING AUTOMATION
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