Optimal image quantization, perception and the median cut algorithm

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Abstract

We study the perceptual problem related to image quantization from an optimization point of view, using different metrics on the color space. A consequence of the results presented is that quantization using histogram equalization provides optimal perceptual results. This fact is well known and widely used but, to our knowledge, a proof has never appeared on the literature of image processing.

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Mota, C., Gomes, J., & Cavalcante, M. I. A. (2001). Optimal image quantization, perception and the median cut algorithm. Anais Da Academia Brasileira de Ciencias, 73(3), 303–317. https://doi.org/10.1590/S0001-37652001000300001

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