Quantization of color spaces by fibonacci lattices

Aleksandra Mojsilović; Emina Soljanin

doi:10.1109/ISIT.2001.936046

Quantization of color spaces by fibonacci lattices

Aleksandra Mojsilović, Emina Soljanin

Research output: Contribution to journal › Article › peer-review

Abstract

We propose a sampling scheme which provides a uniform quantization of the Euclidean Lab color space. The idea is based on several results from number theory and phyllotaxy. The sampling algorithm is very much systematic, and allows easy design of universal color codebooks. The codebook structure allows fast quantization of color images. Even more importantly, the proposed color space sampling and numbering of sampled points, makes methods for processing gray scale images extendible to color images. The display quality of images quantized by proposed color codebooks is comparable with that of image dependent quantizers.

Original language	English (US)
Pages (from-to)	183
Number of pages	1
Journal	IEEE International Symposium on Information Theory - Proceedings
DOIs	https://doi.org/10.1109/ISIT.2001.936046
State	Published - 2001
Externally published	Yes

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

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10.1109/ISIT.2001.936046

Cite this

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Quantization of color spaces by fibonacci lattices

Abstract

All Science Journal Classification (ASJC) codes

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