An image compression algorithm based on data embedding
Yi Zhang, Ruihua Liu, Quan Zhou, Juanni Liu, zhong-bo Zhu, Lang Huyan · 2025
In order to solve the problem of poor compression performance in partial images, an image compression algorithm based on data embedding is proposed. Through operations such as image blocking, feature extraction, judgment, preprocessing, and lossless embedding, the compression performance of images can be improved. This algorithm compresses the complex image blocks and the processed image separately, with the strategy of reducing the compression ratio for local regions and increasing the compression ratio for the overall image. Then the compressed image block is embedded into the compressed overall image losslessly, and a method of lossless data embedding in arbitrary byte data is proposed in this algorithm. This method utilizes the characteristics of the data itself to set keys and carry information on the data, avoiding the mental set of traditional methods that hide information by type. Simulation results show that the proposed algorithm can improve the compression performance of complex image block by 3 dB while the performance of other image regions is unchanged, and the actual embedding rate of compressed images can meet the requirements of this algorithm. Therefore, the algorithm is feasible. The overall compression performance of images is improved in this paper, and the usability of images has been effectively enhanced.