Super-resolution using sub-band constrained total variation

Privam Chatterjee; Vinay P. Namboodiri; Subhasis Chaudhuri

Super-resolution using sub-band constrained total variation

Privam Chatterjee, Vinay P. Namboodiri, Subhasis Chaudhuri

Department of Computer Science

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

3 Citations (SciVal)

Abstract

Super-resolution of a single image is a severely ill-posed problem in computer vision. It is possible to consider solving this problem by considering a total variation based regularization framework. The choice of total variation based regularization helps in formulating an edge preserving scheme for super-resolution. However, this scheme tends to result in a piece-wise constant resultant image. To address this issue, we extend the formulation by incorporating an appropriate sub-band constraint which ensures the preservation of textural details in trade off with noise present in the observation. The proposed framework is extensively evaluated and the experimental results for the same are presented.

Original language	English
Title of host publication	Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings
Pages	616-627
Number of pages	12
Publication status	Published - 24 Dec 2007
Event	1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007 - Ischia, Italy Duration: 30 May 2007 → 2 Jun 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4485 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007
Country/Territory	Italy
City	Ischia
Period	30/05/07 → 2/06/07

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

Chatterjee, P., Namboodiri, V. P., & Chaudhuri, S. (2007). Super-resolution using sub-band constrained total variation. In Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings (pp. 616-627). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4485 LNCS).

Super-resolution using sub-band constrained total variation. / Chatterjee, Privam; Namboodiri, Vinay P.; Chaudhuri, Subhasis.
Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. 2007. p. 616-627 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4485 LNCS).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Chatterjee, P, Namboodiri, VP & Chaudhuri, S 2007, Super-resolution using sub-band constrained total variation. in Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4485 LNCS, pp. 616-627, 1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007, Ischia, Italy, 30/05/07.

Chatterjee P, Namboodiri VP, Chaudhuri S. Super-resolution using sub-band constrained total variation. In Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. 2007. p. 616-627. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Chatterjee, Privam ; Namboodiri, Vinay P. ; Chaudhuri, Subhasis. / Super-resolution using sub-band constrained total variation. Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. 2007. pp. 616-627 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Super-resolution using sub-band constrained total variation

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