Color Image to Grayscale Image Conversion

被引:122
作者
Saravanan, C. [1 ]
机构
[1] Natl Inst Technol, Ctr Comp, Durgapur, W Bengal, India
来源
2010 SECOND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND APPLICATIONS: ICCEA 2010, PROCEEDINGS, VOL 2 | 2010年
关键词
color reduction; color to gray transformation;
D O I
10.1109/ICCEA.2010.192
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Conversion of a color image into a grayscale image inclusive of salient features is a complicated process. The converted grayscale image may lose contrasts, sharpness, shadow, and structure of the color image. To preserve contrasts, sharpness, shadow, and structure of the color image a new algorithm has proposed. To convert the color image into grayscale image the new algorithm performs RGB approximation, reduction, and addition of chrominance and luminance. The grayscale images generated using the algorithm in the experiment confirms that the algorithm has preserved the salient features of the color image such as contrasts, sharpness, shadow, and image structure.
引用
收藏
页码:196 / 199
页数:4
相关论文
共 7 条
  • [1] BALA R, 2004, SPATIAL COLOR TO GRA, P82
  • [2] Color2Gray: Salience-preserving color removal
    Gooch, AA
    Olsen, SC
    Tumblin, J
    Gooch, B
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2005, 24 (03): : 634 - 639
  • [3] Decolorize: Fast, contrast enhancing, color to grayscale conversion
    Grundland, Mark
    Dodgson, Neil A.
    [J]. PATTERN RECOGNITION, 2007, 40 (11) : 2891 - 2896
  • [4] Livingstone M. S., 2002, Vision and Art: The Biology of Seeing
  • [5] Neumann L., 2007, PROC 3 EUR C COMPUTA, P73
  • [6] RASCHE K, 2005, EUROGRAPHICS, V24
  • [7] VOLK C, 2000, ADOBE PHOTOSHIP TIP