Restoration of halftoned color-quantized images using linear estimator

Yik Hing Fung; Yuk Hee Chan

doi:10.1109/ICME.2006.262570

Restoration of halftoned color-quantized images using linear estimator

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Restoration of color-quantized images in which error diffusion is involved is rarely addressed in the literature. Conventional restoration algorithms were generally proposed for handling other noise models and hence they are not effective in restoring color-quantized images. In this paper, we tackle this problem by making use of the best linear estimation. It is shown by the simulation results that the algorithm can improve the quality of color-quantized images to a certain extent.

Original language	English
Title of host publication	2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Pages	453-456
Number of pages	4
Volume	2006
DOIs	https://doi.org/10.1109/ICME.2006.262570
Publication status	Published - 1 Dec 2006
Event	2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Toronto, ON, Canada Duration: 9 Jul 2006 → 12 Jul 2006

Conference

Conference	2006 IEEE International Conference on Multimedia and Expo, ICME 2006
Country/Territory	Canada
City	Toronto, ON
Period	9/07/06 → 12/07/06

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering

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10.1109/ICME.2006.262570

http://hdl.handle.net/10397/1508

Cite this

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Restoration of halftoned color-quantized images using linear estimator. / Fung, Yik Hing; Chan, Yuk Hee.

2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings. Vol. 2006 2006. p. 453-456 4036634.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Restoration of halftoned color-quantized images using linear estimator

Abstract

Conference

ASJC Scopus subject areas

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