Image compression and decompression method and device

Abstract

The embodiment of the present application provides a picture compression and decompression method and device, the method includes: the encoding end decodes the original picture to obtain the quantized DCT coefficient block of the original picture, and obtains the lossy compressed data of the original picture and the original picture The quantized DCT coefficient block of the reference picture is a picture similar to the original picture. According to the quantized DCT coefficient block of the reference picture, the quantized DCT coefficient block of the original picture is losslessly compressed to obtain the original picture. Lossless compressed data, generating one or more code stream files, the code stream file includes lossless compressed data and lossy compressed data, and the lossy compressed data is used by the decoding end to obtain the quantized DCT coefficient block of the reference picture. By decoding both the original picture and the reference picture to the frequency domain, the quantized DCT coefficients of the reference picture are used to compress the quantized DCT coefficients of the original picture. This compression process is lossless compression, thereby improving the compression rate of the picture. .

Description

technical field [0001] The present application relates to the technical field of picture processing, and in particular, to a picture compression and decompression method and apparatus. Background technique [0002] With the popularization of the network and smart devices, a large number of pictures will be generated in the network, and the storage and transmission of pictures occupies a lot of storage and transmission resources. The size of the picture data can be reduced by compressing the picture. Picture compression is divided into single-frame compression and multi-frame compression. Single-frame compression refers to using the correlation of the internal information of a single image to further remove redundancy. and the similarity between the above pictures to remove redundancy. Single-frame compression is more common due to the poor correlation between pictures on the web. [0003] The Joint Photographic Experts Group (JPEG) is a common image format, and the image c...

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Problems solved by technology

[0004] However, the existing image compression methods can only reduce the redundancy between the current coding block and adjacent blocks, and the pixel blocks similar to the current coding block are not only adjacent blocks, but also pixel blocks far away from the current coding block. , so that the compression rate of the existing compression methods is still low, which cannot meet the needs of users

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