4 February 2011 A perceptual hashing method based on luminance features
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Proceedings Volume 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering; 77521L (2011) https://doi.org/10.1117/12.887930
Event: International Conference on Photonics and Image in Agricultural Engineering (PIAGENG 2010), 2010, Qingdao, China
With the rapid development of multimedia technology, content based searching and image authentication has become strong requirements. Image hashing technique has been proposed to meet them. In this paper, an RST (Rotation, Scaling, and Translation) resistant image hash algorithm is presented. In this method, the geometric distortions are extracted and adjusted by normalization. The features of the image are generated from the high-rank moments of luminance distribution. With the help of the efficient image representation capability of high-rank moments, the robustness and discrimination of proposed method are improved. The experimental results show that the proposed method is better than some existing methods in robustness under rotation attack.
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Siqing Luo, "A perceptual hashing method based on luminance features", Proc. SPIE 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering, 77521L (4 February 2011); doi: 10.1117/12.887930; https://doi.org/10.1117/12.887930

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