Omni-directional prediction error histogram modification-based reversible image watermarking algorithm

Abstract

The invention discloses an omni-directional prediction-based reversible image watermarking algorithm comprising the steps of watermark embedding and watermark detection, wherein the watermark embedding process comprises the following steps of: firstly, dividing an image into two mutually-disjointed pixel sets of S1 and S2; secondly, sequentially predicting the pixel sets of S1 and S2 with an omni-directional prediction method to obtain the predication error; and finally, modifying the prediction error histogram to embed the watermark. The watermark extraction process comprises the following steps of: firstly, dividing the image into two mutually-disjointed pixel sets of S1 and S2; secondly, sequentially predicting the pixel sets of S1 and S2 with the omni-directional prediction method according to the sequence opposite to the embedding sequence to obtain the predication error; and finally, extracting the watermark from the predication error, modifying the histogram and restoring the image. According to the invention, by adopting the sequentially-embedded and reversibly-extracting mode, the embedded watermark image can be restored after the watermark is extracted and the reversibility of the watermark of the image can be realized; by adopting the omni-directional prediction method to predict, the prediction error histogram has high centrality and the higher embedded capacity can be realized; and by using the histogram modification in the embedding process, the influence on the image is little and the image embedded with the watermark has favorable visual quality.

Description

technical field [0001] The invention relates to a digital watermark embedding and detection method, in particular to a reversible image watermark method based on omnidirectional prediction error histogram modification. Background technique [0002] With the development of multimedia and digital technology, digital images and digital videos have increasingly become an important way to obtain information in the field of aerospace. In particular, the United States and other countries with advanced aerospace technology and information technology are developing and using spy satellites, drones and other aircraft platforms to collect intelligence, of which digital images and video intelligence account for a very important proportion. For example, UAV platforms such as the "Predator" developed by General Atomics of the United States and the "Global Hawk" developed by Boeing will continuously collect and transmit them in the form of compressed digital images and videos every time th...

AI Technical Summary

Problems solved by technology

The research results of reversible watermarking technology are not rich, and the existing work is mainly concentrated on digital images, and the reversible watermarking scheme for video is even less, and this situation greatly hinders the application of watermarking technology in digital media such as aerospace. Applications in areas where content originality and authenticity are strictly required

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