Reversible image watermarking algorithm based on reverse histogram translation

Abstract

The invention relates to the technical field of information hiding and digital watermarking, and discloses a reversible image watermarking algorithm based on reverse histogram translation, which comprises the following steps of: when a watermark is embedded, performing multi-scale decomposition on an original carrier image to divide the original carrier image into homogeneous blocks and non-homogeneous blocks, and converting the homogeneous blocks and the non-homogeneous blocks into histograms; primary histogram translation and reverse histogram translation watermark embedding are respectively carried out on the histogram, a secondary peak point is selected to embed watermark information when primary histogram translation watermark embedding is carried out, and the watermark information is embedded by translating the zero point position to the secondary peak point position when reverse histogram translation watermark embedding is carried out. Meanwhile, when primary histogram translation watermark embedding is carried out, the digit e and the zero point position g of the binary watermark translated from the secondary peak point to the vacant position are sent to a receiver, so that watermark extraction is facilitated. Compared with the prior art, the method has the advantages that the original carrier image can be completely recovered after the watermark is extracted, the algorithm reversibility is realized, and the embedding capacity and the visual quality are improved.

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 based on inverse histogram translation. 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 embedding with less distortion. [0003] ...

AI Technical Summary

Problems solved by technology

The reversible watermarking method based on histogram translation transforms the histogram of the carrier image, and directly takes its peak point as the watermark embedding point. It is bound to need to locate its peak point and zero point and record the number of pixels of the peak point. The watermark information cannot be accurately extracted during extraction

Saving the positioning information of the peak point and zero point and the number of pixels of the peak point will affect the embedding amount and embedding complexity of the entire watermark

[0005] Moreover, the traditional histogram translation algorithm modifies each pixel value by 1 bit at most. The image quality after watermark embedding is very good, but its watermark embedding capacity depends on the number of peak pixels in the histogram, and the capacity is small and unstable.

Images