Image compression method, system and device based on code rate control of sparse coding

A technology for encoding images and image compression, which is used in image communication, digital video signal modification, electrical components, etc., and can solve the problems of low compression efficiency of remote sensing images, difficult to control the compression rate of remote sensing images, and low quality of image reconstruction.

Active Publication Date: 2021-01-08
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0006] In order to solve the above problems in the prior art, that is, the existing remote sensing image compression code rate is not easy to control and the code rate allocation is unreasonable, resulting in low compression efficiency of remo

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  • Image compression method, system and device based on code rate control of sparse coding
  • Image compression method, system and device based on code rate control of sparse coding
  • Image compression method, system and device based on code rate control of sparse coding

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[0055] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0056] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0057] The present invention provides an image compression method based on code rate control of sparse coding. The method performs sparse coding on the residual error of the image block in an iterative manner, so that the actual coding code rate gradually approaches the set target co...

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Abstract

The invention belongs to the technical field of digital image processing, particularly relates to an image compression method, system and device based on code rate control of sparse coding, and aims to solve the problems of low remote sensing image compression efficiency and low image reconstruction quality after compression due to the fact that the existing remote sensing image compression code rate is not easy to control and the code rate distribution is unreasonable. The method comprises the following steps: dividing a to-be-coded image into set sizes, and setting coding parameters; extracting an image block mean value and carrying out quantization and entropy coding; after the actual coding rate of the image is updated each time, comparing the actual coding rate with a set target coderate, and determining the next operation according to the comparison result; in each iterative encoding process, selecting image blocks with high complexity for sparse encoding, and jointly determining the number of the image blocks by the actual encoding rate of the current image, the set target code rate and the coefficient; and completing image coding at a set coding rate. The coding rate is accurate and controllable, distribution is reasonable, dynamic adjustment can be achieved, and efficient and high-quality compression of images can be achieved.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to an image compression method, system and device based on code rate control of sparse coding. Background technique [0002] In recent years, with the rapid development of remote sensing imaging technology, the spatial and spectral resolution of remote sensing images has been significantly improved, and remote sensing data has also shown a trend of geometric growth, which has brought a heavy burden to the limited transmission bandwidth and storage space. pressure. Image compression technology provides an effective way to alleviate this problem by reducing the amount of image data by removing redundant information. [0003] According to whether there is information loss before and after compression, image compression methods can be divided into two categories: lossy compression and lossless compression. The achievable compression ratio of lossless compr...

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Application Information

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IPC IPC(8): H04N19/115H04N19/146H04N19/91
CPCH04N19/115H04N19/146H04N19/91
Inventor 胡卫明王隽李兵李文娟
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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