Detecting and restoring the tampered images based on iteration-free fractal compression

Authors:
Ching-Te Wang;Tung-Shou Chen;Shao-Hau He
Affiliations:
General Education Center, National Chin-Yi Institute of Technology, No. 35, Kabe 215, Sec. 1, Chung-Shan Road, Taiping, Taichung 411, Taiwan, ROC;Department of Information Management, National Taichung Institute of Technology, Taichung 404, Taiwan, ROC;Department of Information Management, National Taichung Institute of Technology, Taichung 404, Taiwan, ROC
Venue:
Journal of Systems and Software
Year:
2003

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Abstract

In current research, fractal image compression scheme has been used to compress images. In this paper, we apply this technique to refine characteristic values of a specific image and embed the characteristic values into the least significant bits of pixels in the image. Once the picture is damaged by an intruder, the system can detect the tampered blocks and restore them using characteristic values without requiring the original image. From experimental results, we see that the proposed scheme can precisely achieve the detection of a damaged image and improve the performance of image restoration.