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Tamper detection and image recovery for BTC-compressed images
Authors:Yu-Chen Hu  Kim-Kwang Raymond Choo  Wu-Lin Chen
Affiliation:1.Department of Computer Science and Information Management,Providence University,Taichung City,Republic of China;2.Department of Information Systems and Cyber Security,University of Texas at San Antonio,San Antonio,USA;3.School of Information Technology and Mathematical Sciences,University of South Australia,Adelaide,Australia
Abstract:To ensure the integrity of images compressed using block truncation coding (BTC), a tamper detection and image recovery scheme is proposed in this paper. In this scheme, the size of the authentication data can be adaptively selected according to the user’s requirement. The authentication data is embedded in the value differences of the quantization levels in each BTC-compressed image block. Multiple copies of the recovery data are embedded into the bit maps of the smooth blocks. Experimental results show that the proposed scheme performs well in terms of detection precision and the embedded image quality. Meanwhile, the tampered areas can be roughly recovered by using the proposed scheme.
Keywords:
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