| Paper: | TP-P5.4 |
| Session: | Image and Video Artifact Removal and Denoising |
| Time: | Tuesday, September 18, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
ADAPTIVE REPAIR OF COMPRESSED VIDEO SIGNALS USING LOCAL OBJECTIVE METRICS OF BLOCKING ARTIFACTS |
| Authors: |
Ihor Kirenko; Philips Research Laboratories | | |
| | Ling Shao; Philips Research Laboratories | | |
| Abstract: |
The paper presents a new objective metrics of blocking artifacts visibility in MPEG compressed video sequences. The metric estimates a local visibility of the block grid by analyzing the discontinuity of a pixel intensity trend across the block edge and by comparing it against pixel activities within blocks. Application of the local blockiness metrics for adaptive control of low-pass filtering provides significant reduction of coding artifacts without blurring of image details. The results of our experiments show the high efficiency of the proposed approach. |
