In this paper, a new adaptive approach, namelythe illumination estimation approach is introduced into the colorto grayscale conversion technique. In this approach, someassumptions will be made to calculate the weight contribution ofred, green, and blue components during the conversion process.Two color to grayscale conversion algorithms are developedunder this approach, namely the Gray World Assumption Colorto Grayscale Conversion (GWACG) and Shade of GrayAssumption Color to Grayscale (SGACG) conversion algorithms.Based on the extensive experimental results, the proposedalgorithms outperform the conventional conversion techniquesby producing resultant grayscale images with higher brightness,contrast, and amount of details preserved. For this reason, theseproposed algorithms are suitable for pre- and post- processing ofdigital images.

Published by Institute of Advanced Engineering and Science
Journal Name Proceeding of the Electrical Engineering Computer Science and Informatics
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Location Kota yogyakarta, Daerah istimewa yogyakarta INDONESIA
Website EECSI| http://journal.portalgaruda.org/index.php/EECSI|
ISSN ISSN : 2407439X, EISSN : -, DOI : -,
Core Subject Science, Engineering,
Meta Subject Computer Science & IT, Electrical & Electronics Engineering,
Meta DescProceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, students, engineers and practitioners together to participate and present their latest research finding, developments and applications related to the various aspects of electrical, electronics, power electronics, instrumentation, control, computer & telecommunication engineering, signal processing, soft computing, computer science and informatics.
PenulisHong Lim, Wei , Ashidi Mat Isa, Nor
Publisher ArticleIAES Indonesia Section
Subtitle Article Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
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