| Paper: | TP-P5.1 |
| Session: | Image and Video Artifact Removal and Denoising |
| Time: | Tuesday, September 18, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
A MULTI-FRAME POST-PROCESSING APPROACH TO IMPROVED DECODING OF H.264/AVC VIDEO |
| Authors: |
Xin Huang; Technical University of Denmark | | |
| | Huiying Li; Technical University of Denmark | | |
| | Søren Forchhammer; Technical University of Denmark | | |
| Abstract: |
Video compression techniques may yield visually annoying artifacts for limited bitrate coding. In order to improve video quality, a multiframe based motion compensated filtering algorithm is reported based on combining multiple pictures to form a single super-resolution picture and decimation to the desired format. The algorithm is applied to H.264/AVC decoded sequences and the processing involves a quality estimation based on picture type and local quantization value. Compared with directly decoding, the peak signal to noise ratio (PSNR) of the sequence obtained by the proposed algorithm is improved, and annoying ringing artifacts are effectively suppressed. |
