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Artifacts and Antiforensic Noise Removal in JPEG Compression

Author(s):

Bismitha N , YCET; Anup Chandrahasan, YCET

Keywords:

Compression, Lossy Process, Anti-Forensic Noise Removal, Dither, Patches, Dictionary, Dequantized, Total Variation, Artifacts, PSNR, SSIM

Abstract

The JPEG stands for “Joint Photographic Expert Group” and, as its name suggests, was specifically developed for storing photographic images. The compression is usually lossy process. The original image can’t be restored completely from the compressed object. There are a lot of works held to regain original image without any loss. The aim of this work is to improve the quality of the image by adding anti-forensic noise removal technique to the artifacts removed image. The dither algorithm is used to remove anti-forensic noise. In this paper, each block from 8x8 blocks divided into m patches. Every column in dictionary is taken as an atom. So the obtained matrix is given to next section and form DC transform matrix. The de-quantized result is scanned to minimize total variation and the obtained image will be in artifacts removed manner. Eventually, to improve the quality of the image dither algorithm is used. The different images are used to demonstrate the improved quality of the image and also measured the PSNR and SSIM.

Other Details

Paper ID: IJSRDV3I50704
Published in: Volume : 3, Issue : 5
Publication Date: 01/08/2015
Page(s): 1263-1267

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