Classified multifilter up-sampling algorithm in spatial scalability for H.264/SVC encoder

An Chao Tsai, K. Bharanitharan, Jhing Fa Wang, Jar Ferr Yang

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


H.264/scalable video coding (SVC) has spatial scalability which can provide various resolution sequences for a single encoded bit-stream. The various resolutions can be achieved by up-sampling a lower image resolution sequence. The up-sampling method employed in H.264/SVC is directly proportional to the video quality. In order to improve the video quality with an effective up-sampling method, we propose a classified multifilter up-sampling algorithm for H.264/SVC in spatial scalability which classifies an image region as edges and nonedges. An appropriate filter is then applied to up-sample the image. In the proposed scheme, we applied the Wiener filter for edges and conventional filter for nonedges within the defined window size to preserve the edges in the up-sampled image sequence. The experimental results show that the average peak signal-to-noise ratio improvement and bit-rate reduction are 0.5dB and 9%, respectively, which confirm that the performance of the proposed method is better than that of the existing H.264/SVC standard.

Original languageEnglish
Article number5433023
Pages (from-to)861-869
Number of pages9
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number6
Publication statusPublished - 2010 Jun

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering


Dive into the research topics of 'Classified multifilter up-sampling algorithm in spatial scalability for H.264/SVC encoder'. Together they form a unique fingerprint.

Cite this