DocumentCode :
3497593
Title :
Adding Gaussian noise to “denoise” JPEG for detecting image resizing
Author :
Nataraj, L. ; Sarkar, A. ; Manjunath, B.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California at Santa Barbara, Santa Barbara, CA, USA
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
1493
Lastpage :
1496
Abstract :
A common problem affecting most image resizing detection algorithms is that they are susceptible to JPEG compression. This is because JPEG introduces periodic artifacts, as it works on 8×8 blocks. We propose a novel yet counter intuitive technique to "denoise" JPEG images by adding Gaussian noise. We add a suitable amount of Gaussian noise to a resized and JPEG compressed image so that the periodicity due to JPEG compression is suppressed while that due to resizing is retained. The controlled Gaussian noise addition works better than median filtering and weighted averaging based filtering for suppressing the JPEG induced periodicity.
Keywords :
Gaussian noise; image coding; image denoising; Gaussian noise; JPEG compressed image; JPEG compression; image denoising; image resizing detection; median filtering; weighted averaging based filtering; Detection algorithms; Discrete Fourier transforms; Filtering; Forensics; Frequency; Gaussian noise; Image coding; Interpolation; Noise reduction; Transform coding; Gaussian noise addition; JPEG compression; bilinear interpolation; image forensics; image resizing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5414609
Filename :
5414609
Link To Document :
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