A framelet algorithm for enhancing video stills

Raymond H. CHAN*, Zuowei SHEN, Tao XIA

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

35 Citations (Scopus)

Abstract

High-resolution image reconstruction refers to the problem of constructing a high resolution image from low resolution images. One approach for the problem is the recent framelet method in [R. Chan, S.D. Riemenschneider, L. Shen, Z. Shen, Tight frame: An efficient way for high-resolution image reconstruction, Appl. Comput. Harmon. Anal. 17 (2004) 91-115]. There the low resolution images are assumed to be small perturbation of a reference image perturbed in different directions. Video clips are made of many still frames, usually about 30 frames per second. Thus most of the frames can be considered as small perturbations of their nearby frames. In particular, frames close to a specified reference frame can be considered as small perturbations of the reference frame. Hence the setting is similar to that in high-resolution image reconstruction. In this paper, we propose a framelet algorithm similar to that in [R. Chan, S.D. Riemenschneider, L. Shen, Z. Shen, Tight frame: An efficient way for high-resolution image reconstruction, Appl. Comput. Harmon. Anal. 17 (2004) 91-115] to enhance the resolution of any specified reference frames in video clips. Experiments on actual video clips show that our method can provide information that are not discernable from the given clips.

Original languageEnglish
Pages (from-to)153-170
Number of pages18
JournalApplied and Computational Harmonic Analysis
Volume23
Issue number2
Early online date22 Nov 2006
DOIs
Publication statusPublished - Sept 2007
Externally publishedYes

Keywords

  • Denoising
  • Resolution enhancement
  • Tight frame system

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