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Proceedings Paper

Tchebichef moment transform on image dithering for mobile applications
Author(s): Ferda Ernawan; Nur Azman Abu; Hidayah Rahmalan
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Paper Abstract

Currently, mobile image applications spend a lot of computing process to display images. A true color raw image contains billions of colors and it consumes high computational power in most mobile image applications. At the same time, mobile devices are only expected to be equipped with lower computing process and minimum storage space. Image dithering is a popular technique to reduce the numbers of bit per pixel at the expense of lower quality image displays. This paper proposes a novel approach on image dithering using 2x2 Tchebichef moment transform (TMT). TMT integrates a simple mathematical framework technique using matrices. TMT coefficients consist of real rational numbers. An image dithering based on TMT has the potential to provide better efficiency and simplicity. The preliminary experiment shows a promising result in term of error reconstructions and image visual textures.

Paper Details

Date Published: 2 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83340D (2 June 2012); doi: 10.1117/12.946023
Show Author Affiliations
Ferda Ernawan, Univ. Dian Nuswantoro (Indonesia)
Nur Azman Abu, Univ. Teknikal Malaysia Melaka (Malaysia)
Hidayah Rahmalan, Univ. Teknikal Malaysia Melaka (Malaysia)

Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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