Method for conversion, compression and transmission of images

Abstract

The invention discloses a method for conversion, compression and transmission of images, comprising the following steps of: firstly converting an original image A into another image B which is the same as the original image A in size and is easier to compress; carrying out a conventional compression and coding as well as transmission on the image B at a sending end; after decompression and decoding at a receiving end, obtaining a restored image B; and then adopting nonlinear transformation based on a neural network for the image B to carry out mapping, and restoring the original image A. The method is suitable for compression and transmission of various images and has the advantages of simpleness in implementation, high compression ratio and information hiding.

Description

technical field [0001] The invention relates to an image communication method, in particular to an image data transmission method, and belongs to the field of communication (such as data communication technology, etc.). Background technique [0002] With the development of science and technology, people's demand for high-resolution images is increasing, but the data volume of high-resolution images is very large, which puts a lot of pressure on storage and transmission; therefore, people are always trying to improve image data compression. Compression ratio and compression quality, while taking measures to improve transmission confidentiality. [0003] At present, no matter how advanced the image compression method is, there are always the following problems: [0004] (1) The effect of image compression changes with the change of image characteristics [0005] A part of the image compression effect is good, and another part of the image compression effect is not good. In ...

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Problems solved by technology

[0007] (2) Image compression is not integrated with image information hiding and information confidentiality

[0008] Image data compression itself cannot realize the hidden transmission of image information in the conventional sense. If information hiding is to be performed after image compression is completed, other methods can only be adopted; if information encryption is to be performed after image compression is completed, other methods can only be adopted.

In short, the two cannot be combined, or cannot be integrated with image compression

[0009] (3) The successfully developed image compression equipment has a good compression effect on most images, but the compression effect on some images is not good, and the user still wants to continue using the compression equipment

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