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Everything about Color quantization
Image processing technique
In computer graphics, color quantization or color image quantization is quantization applied to color spaces; it is a process that reduces the number of distinct colors used in an image, usually with the intention that the new image should be as visually similar as possible to the original image. Computer algorithms to perform color quantization on bitmaps have been studied since the 1970s. Color quantization is critical for displaying images with many colors on devices that can only display a limited number of colors, usually due to memory limitations, and enables efficient compression of certain types of images. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Color quantizationA 5-minute orientation
- Skim a recent paper: The incremental online k-means clustering algorithm and its application to color quantizationInfluential work since 2022
- Pick up a classic book: The Elements of Statistical LearningThe most-reprinted book on the subject
- Read the landmark paper: Quantifying the Bimodal Color‐Magnitude Distribution of GalaxiesCited 1,388 times
- Go sideways: Ordered ditheringA closely related topic
- Go sideways: Indexed colorA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Quantifying the Bimodal Color‐Magnitude Distribution of Galaxies
Color image quantization for frame buffer display
Color quantization of images
Center-cut for color-image quantization
An adaptive clustering algorithm for color quantization
Interpolative vector quantization of color images
A color image watermarking scheme based on color quantization
Color quantization and processing by Fibonacci lattices
🆕 Influential since 2022
The incremental online k-means clustering algorithm and its application to color quantization
Detecting Aligned Double JPEG Compressed Color Image With Same Quantization Matrix Based on the Stability of Image
A comparative study of color quantization methods using various image quality assessment indices
Scalable Color Quantization for Task-centric Image Compression
Forty years of color quantization: a modern, algorithmic survey
📚 Books worth reading
The Elements of Statistical LearningTrevor Hastie, Robert Tibshirani · 2001
Neuro-fuzzy and soft computingJyh-Shing Roger Jang, Chuen-Tsai Sun · 1996
Light, lasers and opticsJohn H. Mauldin · 1988
Very high resolution and quality imaging IIIAndrew G. Tescher · 1998- 📕From photons to HiggsM. Y. Han · 2014
Advances in Multimedia Information Processing – PCM 2012Weisi Lin · 2012
International Conference on Advances in Pattern RecognitionSameer Singh · 1999
Computer Vision – ACCV 2012Kyoung Mu Lee · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Ordered dithering Ordered dithering is any image dithering algorithm which uses a pre-set threshold map tiled across an image. It is commonly used to display a continuous…
- Indexed color In computing, indexed color is a technique to manage digital images' colors in a limited fashion, in order to save computer storage, while speeding up…
- Dither Dither or dithering is an intentionally applied form of noise used to randomize quantization error, preventing large-scale patterns such as color banding…
- 8-bit color 8-bit color graphics are a method of storing image information in a computer's memory or in an image file, so that each pixel is represented by 8 bits…
- Palette (computing) In computer graphics, a palette is the set of available colors from which an image can be made. In some systems, the palette is fixed by the hardware design…
- PCX PCX, standing for PiCture eXchange, is an image file format developed by the now-defunct ZSoft Corporation of Marietta, Georgia, United States. It was…
- Octree An octree is a tree data structure in which each internal node has exactly eight children. Octrees are most often used to partition a three-dimensional…
- Median cut Median cut is an algorithm to sort data of an arbitrary number of dimensions into series of sets by recursively cutting each set of data at the median…