Optimal image quantization, perception and the median cut algorithm

Optimal image quantization, perception and the median cut algorithm

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 wide...

Full description

Bibliographic Details
Main Authors: MOTA CICERO, GOMES JONAS, CAVALCANTE MARIA I. A.
Format: Article
Language:English
Published: Academia Brasileira de Ciências 2001-01-01
Series:Anais da Academia Brasileira de Ciências
Subjects:
Image quantization
color quantization
optimization
median cut
information theory
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652001000300001
Description
Summary: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.
ISSN:0001-3765
1678-2690

Similar Items