A Mapping and Sorting Hybrid Technique for Color Image Palette Extraction

Gonzalo, Urcid and Rocio, Morales-Salgado (2018) A Mapping and Sorting Hybrid Technique for Color Image Palette Extraction. In: Seventh International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, 27-28 October, 2018, Rome, Italy.

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Abstract

This paper introduces a hybrid computational technique that combines a vector to scalar mapping and single key numerical sorting to extract the color palette of an image coded in RGB (Red-Green-Blue) space. Thus a data set of color pixels in three dimensional integer space is mapped to an appropriate scalar data set that can be used to perform a fast numerical sort.The resulting ordered data set can be readily scanned to count all distinct colors and then remapped to its original dimensionality to obtain the image color palette.Explicit direct and inverse mappings are provided including several examples to illustrate the proposed mapping-sorting technique.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: color count, color image, color palette, data sorting, multi-dimensional mappings
Depositing User: Mr. John Steve
Date Deposited: 06 Mar 2019 11:39
Last Modified: 06 Mar 2019 11:39
URI: http://publications.theired.org/id/eprint/50

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