Abstract
Fuzzy filtering is one of the recently developed methods for
reducing distortion in compressed images and video. In this
paper, we combine the powerful anisotropic diffusion
equations with fuzzy filtering in order to reduce the impact
of artifacts. Based on the directional nature of the blocking
and ringing artifacts, we have applied directional anisotropic
diffusion. Besides that, the selection of the adaptive
threshold parameter for the diffusion coefficient has also
improved the performance of the algorithm. Experimental
results on JPEG compressed images as well as MJPEG and
H.264 compressed videos show improvement in artifact
reduction of the proposed algorithm over other directional
and spatial fuzzy filters.
| Original language | English |
|---|---|
| Title of host publication | 2011 3rd European Workshop on Visual Information Processing (EUVIP) |
| Publisher | IEEE |
| Publication date | 2011 |
| Pages | 24-29 |
| ISBN (Print) | 978-1-4577-0070-5 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 3rd European Workshop on Visual Information Processing - Paris, France Duration: 4 Jul 2011 → 6 Jul 2011 Conference number: 3 https://www.eurasip.org/newsletter/newsletter-2011-22-1-html/newsletter-2011-22-1/The%203rd%20European%20Workshop%20on%20Visual%20Information%20Processing.pdf |
Conference
| Conference | 3rd European Workshop on Visual Information Processing |
|---|---|
| Number | 3 |
| Country/Territory | France |
| City | Paris |
| Period | 04/07/2011 → 06/07/2011 |
| Internet address |
Keywords
- H.264
- Artifact Reduction
- Anisotropic Diffusion
- Fuzzy filter