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

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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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 remote sensing image and low quality of image reconstruction after compression, the present invention provides a remote sensing image based on An image compression method for rate control of sparse coding, the image compression method comprising:

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