10 April 1995 Efficient chromaticity-preserving sharpening of RGB images
Author Affiliations +
The conventional method of performing spatial filtering of RGB images is to subject each plane to the same processing, usually convolution with a filter kernel. Filtering is commonly used in the processing of photographic or photo-realistic images to sharpen or blur images, and to produce aesthetically-pleasing effects. For image sharpening, the technique of subjecting each plane to the same processing produces objectionable color errors in some circumstances, and that techniques which convert the image to a color space that separates luminance from chrominance and performing the filtering only on the luminance component can produce better results. The problem with this approach has been the computational cost of making the transformation, first to the luminance- chrominance space, and back to RGB. This paper presents an algorithm which operates on an RGB image and provides results which are free from chromaticity changes. It achieves these results with fewer computations than filtering the luminance component in a luminance-chrominance color space. In fact, the computations required are usually simpler than processing each RGB plane.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James M. Kasson, James M. Kasson, } "Efficient chromaticity-preserving sharpening of RGB images", Proc. SPIE 2414, Device-Independent Color Imaging II, (10 April 1995); doi: 10.1117/12.206541; https://doi.org/10.1117/12.206541


Circular average transform for image processing
Proceedings of SPIE (May 17 2004)
Color image filtering based on impulsive noise detection
Proceedings of SPIE (November 14 2007)
Number-theoretic coding for iconic systems
Proceedings of SPIE (August 26 1993)
Parallel Optical Pyramidal Image Processing
Proceedings of SPIE (July 17 1988)

Back to Top