Please use this identifier to cite or link to this item:
Title: Contrast Enhancement Framework for Suppressing JPEG Artifacts
Keywords: Contrast Enhancement, Dehazing, JPEG Artifacts Removal, Deblockin
Issue Date: 20-May-2014
Citation: GUO FANGFANG (2014-05-20). Contrast Enhancement Framework for Suppressing JPEG Artifacts. ScholarBank@NUS Repository.
Abstract: Contrast enhancement is a common tool in Computer Vision. It can be applied either globally, such as tone-curve adjustment, or locally, such as dehazing. The current algorithms show their limitations on compressed images because the compression artifacts are boosted at the same time. Applying JPEG artifacts reduction algorithms might not produce pleasant results. Pre-processing will over smooth the image. When applied as post-processing, the boosted artifacts cannot be reduced effectively. To resolve this problem, we introduce an automated method that integrates the artifacts reduction with the contrast enhancement algorithm. This method is based on one basic observation: when the image is decomposed into a structure layer and a texture layer, the JPEG artifacts are mainly contained in the texture layer. For the structure layer, we directly apply the contrast enhancement algorithm. Deblocking is applied to the texture layer. Finally combine these two layers in a reasonable manner.
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
GuoFF02.pdf7.92 MBAdobe PDF


GuoFF01.pdf7.33 MBAdobe PDF



Page view(s)

checked on Dec 8, 2018


checked on Dec 8, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.