Title :
Similarity-based demosaicing algorithm using unified high-frequency map
Author_Institution :
Dept. of Comput. Sci., Tsukuba Univ. of Technol., Tsukuba, Japan
fDate :
5/1/2011 12:00:00 AM
Abstract :
This paper introduces an innovative demosaicing algorithm for color filter array (CFA). Conventional demosaicing algorithms usually detect edges in horizontal-, vertical- or omni-direction, and apply a directional filtering along the edge direction. It is found that these algorithms do not properly work for diagonal edges. We, then, invent a similarity based filtering using unified high-frequency (UHF) map. This new technique enables flexible filtering masks so as to be able to deal with edges of any direction. It is confirmed through experiments that the proposed algorithm outperforms state-of-the-art algorithms in terms of PSNR and subjective quality. In addition, the proposed algorithm requires fewer resources than the state-of-the-art algorithms.
Keywords :
edge detection; filtering theory; image colour analysis; image segmentation; color filter array; directional filtering; edge detection; edge direction; similarity-based demosaicing algorithm; unified high-frequency map; Correlation; Filtering; Image color analysis; Image edge detection; Indexes; Interpolation; Pixel; color filter array; demosaicing; edge-directed interpolation; unified high-frequency map;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2011.5955197