In:
ACM Transactions on Graphics, Association for Computing Machinery (ACM), Vol. 24, No. 3 ( 2005-07), p. 634-639
Abstract:
Visually important image features often disappear when color images are converted to grayscale. The algorithm introduced here reduces such losses by attempting to preserve the salient features of the color image. The Color2Gray algorithm is a 3-step process: 1) convert RGB inputs to a perceptually uniform CIE L*a*b* color space, 2) use chrominance and luminance differences to create grayscale target differences between nearby image pixels, and 3) solve an optimization problem designed to selectively modulate the grayscale representation as a function of the chroma variation of the source image. The Color2Gray results offer viewers salient information missing from previous grayscale image creation methods.
Type of Medium:
Online Resource
ISSN:
0730-0301
,
1557-7368
DOI:
10.1145/1073204.1073241
Language:
English
Publisher:
Association for Computing Machinery (ACM)
Publication Date:
2005
detail.hit.zdb_id:
2006336-2
detail.hit.zdb_id:
625686-7
