Detecting and Restoring System of Tampered Image Based on Discrete Wavelet Transformation and Block Truncation Coding

  • Authors:
  • Ching-Lin Wang;Ren-Hung Hwang;Tung-Shou Chen;Hsiu-Yueh Lee

  • Affiliations:
  • National Chung Cheng University;National Chung Cheng University;National Taichung Institute of Technology;National Taichung Institute of Technology

  • Venue:
  • AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 2
  • Year:
  • 2005

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Abstract

Based on discrete wavelet transformation and block truncation coding, in this paper, a system is presented to cope with a tampered digital image. Without contrast with the original image, this system has its great advantage to detect any tampered possibility, and then restore that tampered part. Experiments have indicated that restored version is extremely close to the original one.