Contrast enhancement RDH method and system based on histogram movement
A histogram and contrast technology, applied in the field of image processing, can solve the problems of insufficient utilization of the histogram library, salt and pepper noise, etc., and achieve the effect of lossless information hiding, resistance to image processing and attacks, and good invisibility
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Embodiment 1
[0048]As shown in FIG. 1, this embodiment provides a method for contrast enhancement RDH based on histogram movement. This embodiment uses this method as an example to illustrate the application to a server. It can be understood that this method can also be applied to a terminal. It can be applied to a terminal, a server and a system, and is realized through the interaction between the terminal and the server. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or it can provide cloud services, cloud database, cloud computing, cloud function, cloud storage, network server, cloud communication, intermediate Cloud servers for basic cloud computing services such as software services, domain name services, security service CDN, and big data and artificial intelligence platforms. The terminal may be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, e...
Embodiment 2
[0082] This embodiment provides a contrast enhanced RDH system based on histogram movement.
[0083] A histogram shift based contrast enhanced RDH system comprising: a baseline embedding module and an extended embedding module;
[0084] The baseline embedding module is configured to: process the grayscale image by merging histogram units to obtain a reserved space; embed the iterated grayscale image side information and additional data into the reserved space to obtain an enhanced image;
[0085] The extended embedding module is configured to: splice the enhanced image with the additional data of the original image extracted by PEH transformation, cover the original image, and obtain the original image after the grayscale image is restored.
[0086] This embodiment proposes a RDH framework with contrast enhancement. The framework consists of two parts, baseline embedding and extended embedding. In the baseline part, histogram vacancies are first preserved by merging histogra...
Embodiment 3
[0089] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps in the RDH method for contrast enhancement based on histogram movement as described in the first embodiment above are implemented.
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