Single image super-resolution using adaptive domain transformation

Abhishek Singh, Narendra Ahuja

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we propose a new image domain prior term for regularizing the super-resolution reconstruction algorithm. This term encourages preserving the local ramp structure around edges, in the reconstruction algorithm. Ramp at a pixel is defined as the steepest sequence of monotonically increasing (or decreasing) pixels among all feasible directions around the pixel. As described in previous work, ramp based modeling is a richer characterization of local image structure than conventional gradients. Our proposed ramp-preserving constraint image is obtained by first running an accurate segmentation algorithm (which is itself obtained by ramp based modeling) on the low resolution image. We then perform a domain transformation of the pixels belonging to the steepest ramps at the edge pixels, in order to preserve sharpness. The resulting non-uniformly spaced image is then upscaled to a uniform, high resolution grid, using an edge preserving non-uniform interpolation scheme. This image is then used both as the prior constraint as well as the initial guess for the iterative super-resolution reconstruction algorithm. Our results compare favorably to the classical back-projection algorithm as well as newer methods which use learning based gradient domain priors.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Pages947-951
Number of pages5
DOIs
StatePublished - Dec 1 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: Sep 15 2013Sep 18 2013

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Other

Other2013 20th IEEE International Conference on Image Processing, ICIP 2013
CountryAustralia
CityMelbourne, VIC
Period9/15/139/18/13

Keywords

  • Super-resolution
  • image prior
  • regularization
  • segmentation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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    Singh, A., & Ahuja, N. (2013). Single image super-resolution using adaptive domain transformation. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (pp. 947-951). [6738196] (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings). https://doi.org/10.1109/ICIP.2013.6738196