Work place: College of computer science Central South University of Forestry & Technology Hunan Changsha 410004, China
E-mail: cheshengbing727@tom.com
Website:
Research Interests: Image Processing, Network Security, Information Security, Artificial Intelligence
Biography
Che Shengbing was born in 1970. He is a Master graduated from Changsha University of Science & Technology on June 2005. He is a professor at Central South University of Forestry and Technology. His current research areas are artificial intelligence, digital image process, network information security.
By Shengbing Che Bin Ma Jinkai Luo Shaojun Yu
DOI: https://doi.org/10.5815/ijigsp.2009.01.08, Pub. Date: 8 Oct. 2009
In order to improve the invisibility and the robustness of semi-fragile watermarking, the paper first brings up the idea which embedding watermark based on the attacks’ characteristic, brings forward the region segmentation operator and the image-segmentation embedding method, puts forward the characteristic and its representation in DWT transform domain based on visual features model, and brings forward the quantized central limit theorem which applies to adjusting the coefficients in general transform domain. These all make semi-fragile watermarking embedded through dynamic quantization achieve the greatest robustness. It gives wavelet transform domain coefficient redressal operator and the best restoration probability of the pixel value adjusting in experiments when the images were under attack. It leads up to a better invisibility of carrier image, a better robustness to the image processing, such as JPEG compression, noise adding, filtering, and the larger amount of embedded information. What’s more, it can ascertain the position of vicious attack exactly.
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