Abstract
In this paper, we propose a method for removing block noise which appears in JPEG (Joint Photographic Experts Group) encoded images. We iteratively perform the 3D wiener filtering and correction of the coefficients. In the wiener filtering, we perform the block matching for each patch in order to get the patches which have high similarities to the reference patch. After wiener filtering, the collected patches are returned to the places where they were and aggregated. We compare the performance of the proposed method to some conventional methods, and show that the proposed method has an excellent performance.
| Original language | English |
|---|---|
| Pages (from-to) | 1993-2000 |
| Number of pages | 8 |
| Journal | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
| Volume | E100A |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2017 Sept |
Keywords
- Block matching
- Block noise
- Discrete cosine transform
- JPEG
- Minimiza-tion problem
- RGB color space
- Signification
- Wiener filter
- YCbCR color space
ASJC Scopus subject areas
- Signal Processing
- Computer Graphics and Computer-Aided Design
- Electrical and Electronic Engineering
- Applied Mathematics