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
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 8Ã8 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;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414609