Color2Gray: salience-preserving color removal

  • Authors:
  • Amy A. Gooch;Sven C. Olsen;Jack Tumblin;Bruce Gooch

  • Affiliations:
  • Northwestern University;Northwestern University;Northwestern University;Northwestern University

  • Venue:
  • ACM SIGGRAPH 2005 Papers
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

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.