Edge-directed image interpolation using color gradient information
Andrey S. Krylov,Andrey Nasonov +1 more
- 14 Sep 2011
- pp 40-49
TL;DR: In this paper, a color image resampling method using color edge-directed interpolation has been developed, which uses color image gradient to perform the interpolation across image gradient rather than along image gradient.
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Abstract: Image resampling method using color edge-directed interpolation has been developed. It uses color image gradient to perform the interpolation across image gradient rather than along image gradient. The developed combined method takes color low resolution image and grayscale high resolution image obtained by a non-linear image resampling method as an input. It includes consecutive calculation stages for high resolution color gradient, for high resolution color information interpolation and finally for high resolution color image assembling.
The concept of color basic edges is used to analyze the results of color image resampling. Color basic edge points metric was suggested and used to show the effectiveness of the proposed image interpolation method.
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References
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TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
TL;DR: This paper presents results of an extensive subjective quality assessment study in which a total of 779 distorted images were evaluated by about two dozen human subjects and is the largest subjective image quality study in the literature in terms of number of images, distortion types, and number of human judgments per image.
Image super-resolution using gradient profile prior
Jian Sun,Zongben Xu,Heung-Yeung Shum +2 more
- 04 Oct 2008
TL;DR: An image super-resolution approach using a novel generic image prior - gradient profile prior, which is a parametric prior describing the shape and the sharpness of the image gradients is proposed.
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