A Multi-Frame Post-Processing Approach to Improved Decoding of H.264/AVC Video

Xin Huang, Huiying Li, Søren Forchhammer

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

245 Downloads (Pure)

Abstract

Video compression techniques may yield visually annoying artifacts for limited bitrate coding. In order to improve video quality, a multi-frame 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.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing, 2007. ICIP 2007.
Volume4
PublisherIEEE
Publication date2007
Pages381-384
ISBN (Print)978-1-4244-1437-6
DOIs
Publication statusPublished - 2007
EventIEEE International Conference on Image Processing (IVCP) - San Antonio, TX, USA
Duration: 1 Jan 2007 → …

Conference

ConferenceIEEE International Conference on Image Processing (IVCP)
CitySan Antonio, TX, USA
Period01/01/2007 → …

Bibliographical note

Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

Fingerprint Dive into the research topics of 'A Multi-Frame Post-Processing Approach to Improved Decoding of H.264/AVC Video'. Together they form a unique fingerprint.

Cite this