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Encoding and decoding method of image sequence nondestructive compression based on interested area

A technology of region of interest and encoding and decoding method, which is applied in the field of moving image sequences, can solve the problems of not considering the time axis correlation, etc., and achieve the effect of improving the compression ratio

Inactive Publication Date: 2008-09-03
JILIN UNIV
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Problems solved by technology

[0005] However, there are few standards for lossless compression methods for video. One is to use a lossless compression method for each frame alone, regardless of the correlation on the time axis. In addition, it is mainly based on existing lossy compression standards, such as MPEG. -2, H.264, AVS, etc., remove the lossy sub-algorithm, and realize the lossless compression function of the video

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  • Encoding and decoding method of image sequence nondestructive compression based on interested area
  • Encoding and decoding method of image sequence nondestructive compression based on interested area
  • Encoding and decoding method of image sequence nondestructive compression based on interested area

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Embodiment Construction

[0026] The specific content and implementation of the present invention will be further described below in conjunction with the accompanying drawings.

[0027] The core content of the present invention is to introduce the definition of the four-dimensional n-order matrix and the definition of the algorithm in the image sequence signal compression method, and introduce the corresponding four-dimensional n-order matrix orthogonal transformation, and propose a new Hadamard four-dimensional n-order Intersection matrix, and its Kroneko product generation method. Both the extraction of the region of interest and the entropy coding are prior art.

[0028] If there is no special statement, this paper will use R to represent the field of real numbers, C to represent the field of complex numbers, and H to represent the field of quaternions, F∈{R;C;H}.

[0029] Four-dimensional matrix definition

[0030] Four-dimensional data permutation table on F[a ijst ] is called a four-dimensiona...

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Abstract

The invention relates to an interesting area based nondestructive compression method, which is mainly used for motion image sequence. The coding / decoding method of nondestructive compression based on motion image sequence of interesting area improves greatly the compression ratio of image on the premise of guaranteeing non-distortion recovery of interesting area image signal. The specific step comprises: step of extracting interesting area; step of dividing blocks; step of transforming matrix; step of coding entropy; step of generating four-dimensional n-order orthogonal transformation Hadamard matrix. The core content of the invention is that the definition of the four-dimensional n-order matrix and the definition of its algorithm are introduced in the image sequence signal compression method, and the corresponding four-dimensional n-order orthogonal transformation are introduced, and Hadamard four-dimensional n-order orthogonal matrix and its Kronic multiplication generation method are provided.

Description

Technical field: [0001] The invention relates to a lossless compression method for image sequences based on regions of interest, and is mainly applied to moving image sequences. Background technique: [0002] The amount of information contained in the video is the largest among all the information perceived by humans, but the amount of data used to represent the video is also very large. If it is not compressed and encoded, there will be great problems in its storage and network transmission. One of the main problems faced by the application and development of multimedia technology and the Internet is to solve the representation, transmission and storage of huge image information, and the fundamental method to solve this problem is image compression. Under the premise of distortion, the bitmap information of the image is converted into another representation that can reduce the amount of image data. Image compression is divided into two categories: lossless compression and ...

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Application Information

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IPC IPC(8): H04N7/26H04N19/46
Inventor 陈贺新桑爱军陈绵书赵岩张鹤
Owner JILIN UNIV
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