Median cut color quantization algorithm: retrospective

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Authors: Emre Celebi, Maria-Luisa Perez-Delgado
Cited by: 1
References: 50

Abstract

Color quantization, reducing the number of distinct colors in a given image with minimal distortion, is a common image processing operation with many applications in visual computing. Heckbert’s median cut algorithm, which dates back to the early 1980s, is generally considered the first true color quantization algorithm. Heckbert’s seminal work generated numerous subsequent studies extending his algorithm in various ways. In this retrospective, we present a detailed analysis of the median cut algorithm and demonstrate how it influenced later color quantization, vector quantization, and data clustering algorithms.

Fields of Study & Subjects

Advanced Data Compression Techniques Image Enhancement Techniques Color Science and Applications

Publication details

Journal / source
Journal of the Optical Society of America A
Publisher
Optica Publishing Group
Volume
43
Issue
2
Pages
403–403
Publication date
12 January 2026
Language
EN