Image-adaptive color super-resolution

Umamahesh Srinivas, Xuan Mo, Manu Parmar, Vishal Monga

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

    5 Scopus citations

    Abstract

    Image super-resolution is the problem of recovering a high resolution (hi-res) image from multiple low resolution (lo-res) acquisitions of a scene. The main focus and the most significant contributions of research in this area have been on the problem of super-resolving single channel (grayscale) images. Multi-channel (color) image super-resolution is often treated as an extension to grayscale super-resolution by simply considering the luminance component of the image more carefully than the chrominance components. In this paper we address explicitly the problem of color image super-resolution by formulating an optimization problem that leads to convergence guarantees. The key contribution of this work is the inclusion of a color regularizer that effectively accounts for both luminance and chrominance geometry in images. We show results demonstrating substantial image quality improvement over the state of the art, especially for images with significant chrominance geometry.

    Original languageEnglish (US)
    Title of host publication19th Color Imaging Conference
    Subtitle of host publicationColor Science and Engineering Systems, Technologies, and Applications - Final Program and Proceedings, CIC19
    Pages120-125
    Number of pages6
    StatePublished - Dec 1 2011
    Event19th Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC19 - San Jose, CA, United States
    Duration: Nov 7 2011Nov 11 2011

    Publication series

    NameFinal Program and Proceedings - IS and T/SID Color Imaging Conference
    ISSN (Print)1083-1304

    Other

    Other19th Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC19
    CountryUnited States
    CitySan Jose, CA
    Period11/7/1111/11/11

    All Science Journal Classification (ASJC) codes

    • Electronic, Optical and Magnetic Materials
    • Atomic and Molecular Physics, and Optics

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