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SCALESPACE
2007
Springer

Super-Resolution Using Sub-band Constrained Total Variation

11 years 7 months ago
Super-Resolution Using Sub-band Constrained Total Variation
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.
Priyam Chatterjee, Vinay P. Namboodiri, Subhasis C
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where SCALESPACE
Authors Priyam Chatterjee, Vinay P. Namboodiri, Subhasis Chaudhuri
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