Research Article
A post-processing algorithm for Detection & Removal of Corner Outlier
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 4 - Issue 2 |
| Published: July 2010 |
| Authors: Jagroop Singh Sidhu, Anudeep Gandam |
10.5120/804-1144
|
Jagroop Singh Sidhu, Anudeep Gandam . A post-processing algorithm for Detection & Removal of Corner Outlier. International Journal of Computer Applications. 4, 2 (July 2010), 9-16. DOI=10.5120/804-1144
@article{ 10.5120/804-1144,
author = { Jagroop Singh Sidhu,Anudeep Gandam },
title = { A post-processing algorithm for Detection & Removal of Corner Outlier },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 4 },
number = { 2 },
pages = { 9-16 },
doi = { 10.5120/804-1144 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A Jagroop Singh Sidhu
%A Anudeep Gandam
%T A post-processing algorithm for Detection & Removal of Corner Outlier%T
%J International Journal of Computer Applications
%V 4
%N 2
%P 9-16
%R 10.5120/804-1144
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The reconstructed images from JPEG compression produce noticeable image degradation near the block boundaries, in case of highly compressed images, because each block is transformed and quantized independently. The blocking effects are classified into three types of noises: staircase noise, grid noise and corner outlier out of which major thrust is laid on corner outlier in this paper. A post-processing algorithm is proposed to reduce the blocking artifacts of JPEG decompressed images. The proposed post- processing algorithm, which consists of three stages, reduces the blocking artifacts efficiently. A comparative study between the proposed algorithm and other post-processing algorithms based on various performance indices is made.
References
Index Terms
Keywords