A method of image data compression based on k-l transform error space division

A K-L transformation, image data technology, applied in the direction of image communication, digital video signal modification, electrical components, etc., can solve problems such as affecting the visual quality of the image, large errors and significant pixels, etc., to achieve good compression performance, reduce compression errors, reduce The effect of mean root mean square error

Inactive Publication Date: 2019-04-26
WUHAN UNIV
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Problems solved by technology

However, using a low-dimensional space to represent the original high-dimensional space will inevitably produce compression errors, especially due to the non-ideal statistical distribution of image data, there will also be significant pixels with large errors, which will affect the visual quality of the image

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  • A method of image data compression based on k-l transform error space division
  • A method of image data compression based on k-l transform error space division
  • A method of image data compression based on k-l transform error space division

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Embodiment Construction

[0037] The specific implementation process of the present invention will be further described below in conjunction with the accompanying drawings.

[0038] Such as figure 1 As shown, the embodiment of the present invention mainly includes the following processes:

[0039] 1) Input the image data to be compressed, reorganize the data according to the image type, and arrange it into a matrix A of P×Q.

[0040] According to the type of the input image, this embodiment performs the following processing:

[0041] If the input is grayscale image data of M×N, the present embodiment divides the original image into small blocks of 8×8, then the number of image blocks in the row direction is r=M / 8, and the number of image blocks in the column direction is c =N / 8. Arrange the image blocks in columns to form a matrix A of P×Q, where P=64, Q=r*c;

[0042] If the input is three-channel color image data of M×N×3, in this embodiment, each channel is regarded as an M×N grayscale image data f...

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Abstract

The invention belongs to the technical field of digital image processing, in particular, to a K-L transformation error space dividing based image data compression method. The method comprises the following steps: recombining and arranging inputted image data; calculating and removing the arrayed the matrix DC components; performing initial K-L transformation to obtain a coefficient matrix; intercepting the coefficient matrix; intercepting the space dividing of abandoned components; calculating and removing subspace DC components; performing K-L transformation to the subspace for characteristic vector arrays and a coefficient matrixes; intercepting the coefficient matrixes and the characteristic vector arrays of the subspace; intercepting the quantification and coding of remaining coefficient matrix components; coding the subspace DC components and the intercepted remaining characteristic vector array components; and saving and transmitting the coded data. This method can not only reduce the overall error of image compression under the same compression ratio, but also reduce the larger compression error points generated from visual significant pixels, and at the same time, improve the objective fidelity and subjective fidelity of image compression.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to an image data compression method based on K-L transform error space splitting. Background technique [0002] In recent years, with the rapid development of computer technology, communication network technology and multimedia technology, the number of digital images created by human beings is increasing at an alarming rate. On the other hand, with the continuous improvement of the resolution of RGB image acquisition equipment, the continuous increase of the area array and the emergence of multi-spectral image acquisition equipment, the data volume of a single image is also increasing. The large amount of image information has brought great challenges to the storage capacity of the memory, the processing capacity of the computer and the transmission capacity of the communication channel. Obviously, it is unrealistic to solve this problem only by increa...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/42H04N19/60
CPCH04N19/42H04N19/60
Inventor 万晓霞李俊锋曹前
Owner WUHAN UNIV
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