Color quantization by preserving color distribution features

Wu Ja Lin; Chih_Ching Lin

doi:10.1016/S0165-1684(99)00060-2

Color quantization by preserving color distribution features

Wu Ja Lin, Chih_Ching Lin

Department of Computer Science

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

9 Scopus citations

Abstract

A color quantization method is proposed. The method hierarchically uses a bisection tool that preserves certain color-distribution features. The preserved features are average color, variance in each color dimension, and average color radius. An algorithm is given that includes the histogram simplification procedure, color palette generation, and pixel mapping. Experiments show that the proposed method usually obtains acceptable quantized images with competitive speed.

Original language	English
Pages (from-to)	201-214
Number of pages	14
Journal	Signal Processing
Volume	78
Issue number	2
DOIs	https://doi.org/10.1016/S0165-1684(99)00060-2
State	Published - 1 Jan 1999

Access to Document

10.1016/S0165-1684(99)00060-2

Fingerprint Dive into the research topics of 'Color quantization by preserving color distribution features'. Together they form a unique fingerprint.

Cite this

@article{6079770b94ed4b0c9522b8c9096ecc18,

title = "Color quantization by preserving color distribution features",

abstract = "A color quantization method is proposed. The method hierarchically uses a bisection tool that preserves certain color-distribution features. The preserved features are average color, variance in each color dimension, and average color radius. An algorithm is given that includes the histogram simplification procedure, color palette generation, and pixel mapping. Experiments show that the proposed method usually obtains acceptable quantized images with competitive speed.",

author = "Lin, {Wu Ja} and Chih_Ching Lin",

year = "1999",

month = jan,

day = "1",

doi = "10.1016/S0165-1684(99)00060-2",

language = "English",

volume = "78",

pages = "201--214",

journal = "Signal Processing",

issn = "0165-1684",

publisher = "Elsevier",

number = "2",

}

TY - JOUR

T1 - Color quantization by preserving color distribution features

AU - Lin, Wu Ja

AU - Lin, Chih_Ching

PY - 1999/1/1

Y1 - 1999/1/1

N2 - A color quantization method is proposed. The method hierarchically uses a bisection tool that preserves certain color-distribution features. The preserved features are average color, variance in each color dimension, and average color radius. An algorithm is given that includes the histogram simplification procedure, color palette generation, and pixel mapping. Experiments show that the proposed method usually obtains acceptable quantized images with competitive speed.

AB - A color quantization method is proposed. The method hierarchically uses a bisection tool that preserves certain color-distribution features. The preserved features are average color, variance in each color dimension, and average color radius. An algorithm is given that includes the histogram simplification procedure, color palette generation, and pixel mapping. Experiments show that the proposed method usually obtains acceptable quantized images with competitive speed.

UR - http://www.scopus.com/inward/record.url?scp=0033204956&partnerID=8YFLogxK

U2 - 10.1016/S0165-1684(99)00060-2

DO - 10.1016/S0165-1684(99)00060-2

M3 - Article

AN - SCOPUS:0033204956

VL - 78

SP - 201

EP - 214

JO - Signal Processing

JF - Signal Processing

SN - 0165-1684

IS - 2

ER -