Color image resolution conversion.
other · Level V
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- Record sourced from PubMed, PMID 15762330.
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Abstract
In this paper, we look at the problem of spatially scaling color images. We focus on an approach that takes advantage of the human visual system's color spatial frequency sensitivity. The algorithm performs an efficient least-squares (LS) resolution conversion for the luminance channel and a low-complexity pixel replication/reduction in the chrominance channels. The performance of the algorithm is compared to a LS method in sRGB and CIELAB color spaces, as well as standard bilinear interpolation in sRGB space. The comparisons are made in terms of computational cost and color error in sCIELAB.
Medical subject headings
- Algorithms
- Artificial Intelligence
- Color
- Colorimetry
- Image Enhancement
- Image Interpretation, Computer-Assisted
- Pattern Recognition, Automated