Title :
Detecting and restoring system of tampered image based on discrete wavelet transformation and block truncation coding
Author :
Wang, Ching-lin ; Hwang, Ren-Hung ; Chen, Tung-Shou ; Lee, Hsiu-Yueh
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
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.
Keywords :
block codes; discrete wavelet transforms; image restoration; block truncation coding; detecting system; discrete wavelet transformation; restoring system; tampered digital image; tampered image; Computer science; Digital images; Discrete wavelet transforms; Frequency domain analysis; Image coding; Image reconstruction; Image restoration; Pixel; Protection; Wavelet domain; block truncation coding; discrete wavelet transformation; tampered image;
Conference_Titel :
Advanced Information Networking and Applications, 2005. AINA 2005. 19th International Conference on
Print_ISBN :
0-7695-2249-1
DOI :
10.1109/AINA.2005.160