A framelet algorithm for enhancing video stills
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
|Journal / Publication||Applied and Computational Harmonic Analysis|
|Online published||22 Nov 2006|
|Publication status||Published - Sep 2007|
|Link to Scopus||https://www.scopus.com/record/display.uri?eid=2-s2.0-34547567338&origin=recordpage|
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.
- Denoising, Resolution enhancement, Tight frame system