2 June 2000 Quantization of color spaces and processing of color images by fibonacci lattices
Author Affiliations +
Proceedings Volume 3959, Human Vision and Electronic Imaging V; (2000); doi: 10.1117/12.387171
Event: Electronic Imaging, 2000, San Jose, CA, United States
Methods for processing gray scale images cannot be simply extended to color images because they rely on the fact that each gray level is described by a single number and the fact that a relation of full order can be easily established on the set of those numbers. Color spaces (such as RGB or Lab) are on the other hand three dimensional. To make them more amenable to the type of processing used for one-dimensional gray level pictures, we propose a particular space sampling and numbering of sampled points. The sampling scheme provides a uniform quantization of the Euclidean Lab space, and a way to establish a partial order relation on the set of points. The idea is based on several results from number theory and phyllotaxy. We illustrate possible processing of color images by first introducing the basic average and difference operations and then implementing edge detection and compression of color quantized images.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aleksandra Mojsilovic, Emina Soljanin, "Quantization of color spaces and processing of color images by fibonacci lattices", Proc. SPIE 3959, Human Vision and Electronic Imaging V, (2 June 2000); doi: 10.1117/12.387171; https://doi.org/10.1117/12.387171


Image processing

Image compression

Color image processing

Edge detection

Image resolution



Study on panel sharpening in different color spaces
Proceedings of SPIE (September 26 2013)
A universal color image quality metric
Proceedings of SPIE (August 08 2003)
Automatic text extraction from color image
Proceedings of SPIE (May 30 2000)
Digital watermarking of color image
Proceedings of SPIE (January 16 2006)

Back to Top