Ternary high-information-content embedding method for low-resolution video

Abstract

In the prior art, many H.264 video information hiding algorithms based on a DCT domain exist, but DCT and DST technologies are adopted in an HEVC intra-frame coding process, and all 4*4 brightness prediction blocks adopt the DST technology, so that the previous video information hiding algorithm based on the H.264 video DCT domain is not suitable for HEVC videos any more. The invention provides a ternary information embedding method suitable for a low-resolution video, an odd-even binary information embedding method in the prior art is replaced, and the information amount is 1.613 times that of a binary system under the condition that the embedding digits are the same and 32bit is taken as a unit. Experimental results show that compared with a binary embedding method, for a QCIF video sequence, the average information embedding amount of the ternary method is increased by 34.2%, the PSNR value is basically not reduced, and the ternary high-information-amount embedding method has high commercial value and wide market application prospects when applied to low-resolution videos.

Description

technical field [0001] The invention relates to a video ternary high-information embedding method, in particular to a low-resolution video ternary high-information embedding method, and belongs to the technical field of video high-information embedding. Background technique [0002] With the rapid development of the mobile Internet, people pay more and more attention to privacy protection and information security. In recent years, information hiding technology has developed rapidly. Using popular digital carrier files to transmit private information can ensure that private information will not be discovered. The new generation of high-efficiency video coding standard (HEVC) contains the latest coding technology, which has excellent compression performance and unique Parallel processing design, widely used in various video services. [0003] High-efficiency video coding HEVC adopts DCT and discrete sine transform DST, which is one of the more advanced video codecs at present...

AI Technical Summary

Problems solved by technology

[0011] First, there are already many H.264 video information concealment algorithms based on the DCT domain in the prior art, but DCT and DST technologies are used in the HEVC intra-frame coding process, and all 4*4 luma prediction blocks use DST technology, which makes The previous video information concealment algorithm based on the DCT domain of H.264 video is no longer applicable to HEVC video. The existing technology lacks an information embedding method suitable for low-resolution video, and lacks a better method to replace the parity binary information embedding of the existing technology. When the number of embedding bits is the same and the unit is 32 bits, the average information embedding amount of the HEVC binary embedding method is too low to meet the high-information embedding requirements of low-resolution videos;

[0012] Second, most of the prior art H.264 video information concealment algorithms based on quantized DST coefficients select the 4*4 luminance blocks of the I frame for embedding, because the I frame is the core frame, and the quantization coefficients in the B frame and the P frame There are few non-zero coefficients, and 4*4 luminance block components are used in intra-frame prediction to indicate that the texture of this area is relatively complex. Information embedding in these places is difficult for human eyes to detect, so 4*4 luminance blocks are very suitable for video information Embedding of

However, in HEVC intra-frame predictive coding, the components of luma blocks are 4*4, 8*8, 16*16, 32*32 and 64*64, and the HEVC coding standard is mainly aimed at the compression coding of high-resolution video, for High-definition ultra-clear video, in areas with complex textures, a large number of 4*4 and 8*8 block modes are used for video coding, and relatively large size block modes are used in relatively flat areas, but it is easy to embed in flat areas It is perceived by the naked eye, so it is not suitable for information embedding, and the existing technology lacks a good solution;

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