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SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution (2009)

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by Shengyang Dai , Mei Han , Wei Xu , Ying Wu , Yihong Gong , Aggelos K. Katsaggelos
Citations:18 - 0 self
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BibTeX

@MISC{Dai09softcuts:a,
    author = {Shengyang Dai and Mei Han and Wei Xu and Ying Wu and Yihong Gong and Aggelos K. Katsaggelos},
    title = {SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution},
    year = {2009}
}

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Abstract

Designing effective image priors is of great interest to image super-resolution (SR), which is a severely under-determined problem. An edge smoothness prior is favored since it is able to suppress the jagged edge artifact effectively. However, for soft image edges with gradual intensity transitions, it is generally difficult to obtain analytical forms for evaluating their smoothness. This paper characterizes soft edge smoothness based on a novel SoftCuts metric by generalizing the Geocuts method [1]. The proposed soft edge smoothness measure can approximate the average length of all level lines in an intensity image. Thus, the total length of all level lines can be minimized effectively by integrating this new form of prior. In addition, this paper presents a novel combination of this soft edge smoothness prior and the alpha matting technique for color image SR, by adaptively normalizing image edges according to their-channel description. This leads to the adaptive SoftCuts algorithm, which represents a unified treatment of edges with different contrasts and scales. Experimental results are presented which demonstrate the effectiveness of the proposed method.

Keyphrases

soft edge smoothness prior    color image super-resolution    soft edge smoothness    level line    soft image edge    novel combination    image super-resolution    average length    color image sr    new form    alpha matting technique    edge smoothness    different contrast    adaptive softcuts algorithm    intensity image    normalizing image    total length    great interest    under-determined problem    novel softcuts    jagged edge artifact    their-channel description    experimental result    effective image prior    unified treatment    gradual intensity transition    analytical form    soft edge smoothness measure    geocuts method   

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