Reversible image watermarking algorithm combining quadratic difference expansion and interpolation expansion

Abstract

The invention relates to the technical field of image processing, and discloses a reversible image watermarking algorithm combining quadratic difference expansion and interpolation expansion, which comprises two parts of watermarking embedding and watermarking extraction; watermarking embedding: removing a pixel point with a pixel value of 0 or 255, and combining interpolation expansion and quadratic generalized difference expansion to carry out watermarking embedding on an image; and watermark extraction: removing pixel points with pixel values of 0 or 255, and performing watermark extractionon the image by combining interpolation expansion and secondary inverse generalized difference expansion. Compared with the prior art, watermark embedding is completed by utilizing secondary generalized difference expansion and interpolation expansion algorithms, the trouble that an overflow positioning graph occupies effective space does not need to be considered, the embedding capacity is improved, the overall performance is high, the invisibility is good, the visual quality is relatively high, and complete recovery of an original image can be realized.

Description

technical field [0001] The invention relates to the technical fields of information hiding and digital watermarking, in particular to a reversible image watermarking algorithm combined with quadratic difference expansion and interpolation expansion. Background technique [0002] Image reversible watermarking requires embedding watermark information into the carrier image under the premise of ensuring the visual quality of the carrier image. The purpose is to require the original carrier image to be restored without loss after the watermark is extracted. Therefore, compared with the traditional watermarking method, the amount of embedded information is required to be larger, which also makes it have more extensive research and application value in judicial, military, medical and other fields that require high image authenticity and integrity. The basic goal of research on reversible image watermarking algorithm is to obtain the maximum amount of effective information embeddin...

AI Technical Summary

Problems solved by technology

This embedding method is quite unique in overflow processing, but it still needs to embed compressed positioning maps, and the use of compressed positioning maps makes the watermark embedding steps too cumbersome, and it is still prone to overflow, which affects the capacity of watermark embedding. The algorithm may overflow after embedding the watermark, so eliminating the positioning map is of great significance to improve the performance of the algorithm

Images