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

Abstract

The invention belongs to the technical field of digital image processing, and specifically relates to an image compression method, system and device based on sparse coding code rate control, aiming to solve the problem that the existing remote sensing image compression code rate is not easy to control and the code rate distribution is unreasonable, resulting in The compression efficiency of remote sensing images is low, and the quality of image reconstruction after compression is low. The invention includes: dividing the image to be encoded into set sizes, and setting encoding parameters; extracting the average value of the image block and performing quantization and entropy encoding; after updating the actual encoding bit rate of the image each time, comparing it with the set target bit rate , and determine the next operation according to the comparison result; in each iterative encoding, the image blocks with higher complexity are selected for sparse encoding, and the number is determined by the actual encoding rate of the current image, the set target bit rate and coefficients; The image coding is completed under a certain coding bit rate. The coding rate of the invention is accurate and controllable, the distribution is reasonable and can be adjusted dynamically, and the efficient and high-quality compression of images can be realized.

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...

AI Technical Summary

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:

Images