The traditional F5 steganography algorithm hides the information in the whole image and uses matrix coding for information embedding, which can embed a large amount of information with little change, and has high embedding efficiency, but lacks robustness to compressed JPEG images. In this paper, a new F5 steganography technique is proposed, which combines F5 steganography with the combination of lossless carrier and complexity coefficient to process JPEG images. First, this paper constructs a lossless carrier to enhance the robustness of F5 steganography, then measures the complexity of the image by the complexity coefficient, and selects the complex pixel blocks for F5 steganography to further enhance the robustness of JPEG image steganography.
In order to explore the rich Marine resources more efficiently and monitor the information of marine creatures in real time, this paper proposes to design a real-time Marine biological monitoring and managing system based on Java technology , which combines relevant Marine information collectors such as underwater camera. After the seabed image captured by the information collector is uploaded to the system server, the system can conduct relevant image processing to achieve a clearer image according to its fuzzy characteristics, and conduct unified classification, integration and storage to facilitate search later. Compared with the traditional method of image processing and image management segmentation, the system can save a lot of manpower and time.
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