Median cut color quantization algorithm: retrospective

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 <i>median cut</i> 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.

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Publication Details

Journal
Journal of the Optical Society of America A
Published
2026-01-12
DOI
https://doi.org/10.1364/josaa.577058
Primary Topic
Advanced Data Compression Techniques
Type
article
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article

Median cut color quantization algorithm: retrospective

Maria-Luisa Perez-Delgado, Emre Celebi
Journal of the Optical Society of America A
Advanced Data Compression Techniques
article

Median cut color quantization algorithm: retrospective

Maria-Luisa Perez-Delgado, Emre Celebi
article en

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 <i>median cut</i> 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.

Journal of the Optical Society of America AVol. 43(2)
Universidad de Salamanca (ES)
Openalex Percentile: Top 92%
Advanced Data Compression Techniques
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