A Reversible Image Watermarking Algorithm Combining Quadratic Difference Extension and Interpolation Extension

Abstract

The present invention relates to the technical field of image processing, and discloses a reversible image watermarking algorithm combining quadratic difference extension and interpolation extension, including watermark embedding and watermark extraction. Combine interpolation expansion and quadratic generalized difference expansion to perform watermark embedding on the image; watermark extraction: remove pixels with pixel values ​​of 0 or 255 and combine interpolation expansion and quadratic inverse generalized difference expansion to extract watermark from the image. Compared with the prior art, the present invention uses quadratic generalized difference extension and interpolation extension algorithms to complete the watermark embedding, without considering the problem of the effective space occupied by the overflow location map, improving the embedding capacity, high overall performance, and good invisibility. Moreover, it has high visual quality and can realize the complete restoration of the original image.

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

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