TY - GEN
T1 - Contrast enhancement of color images based on wavelet transform and human visual system
AU - Xiao, Ding
AU - Ohya, Jun
PY - 2007/12/1
Y1 - 2007/12/1
N2 - This paper proposes a new method for enhancing the contrast of color images based on Wavelet Transform and human visual system. The RGB (red, green, and blue) values of each pixel in a color image are converted to HSV (hue, saturation and value) values. To the V (luminance value) components of the color image, Wavelet Transform is applied so that the V components are decomposed into the approximate components and detail components. The obtained coefficients of the approximate components are converted by a grey-level contrast enhancement technique based on human visual system. Then, inverse Wavelet transform is performed for the converted coefficients so that the enhanced V values are obtained. The S components are enhanced by histogram equalization. The H components are not changed, because changes in the H components could degrade the color balance between the HSV components. The enhanced S and V together with H are converted back to RGB values. The effectiveness of the proposed method is demonstrated experimentally.
AB - This paper proposes a new method for enhancing the contrast of color images based on Wavelet Transform and human visual system. The RGB (red, green, and blue) values of each pixel in a color image are converted to HSV (hue, saturation and value) values. To the V (luminance value) components of the color image, Wavelet Transform is applied so that the V components are decomposed into the approximate components and detail components. The obtained coefficients of the approximate components are converted by a grey-level contrast enhancement technique based on human visual system. Then, inverse Wavelet transform is performed for the converted coefficients so that the enhanced V values are obtained. The S components are enhanced by histogram equalization. The H components are not changed, because changes in the H components could degrade the color balance between the HSV components. The enhanced S and V together with H are converted back to RGB values. The effectiveness of the proposed method is demonstrated experimentally.
KW - Color enhancement
KW - HSV color space
KW - Human visual system
KW - Image processing
KW - Wavelet transform
UR - http://www.scopus.com/inward/record.url?scp=54949142507&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=54949142507&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:54949142507
SN - 9780889866256
T3 - Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007
SP - 58
EP - 63
BT - Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007
T2 - 2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008
Y2 - 3 January 2007 through 5 January 2007
ER -