TY - GEN
T1 - Color enhancement for images from digital camera using a transformation-free approach
AU - Kwok, N. M.
AU - Fang, G.
AU - Shi, H. Y.
PY - 2015
Y1 - 2015
N2 - ![CDATA[Digital color images, in three color channels, are capable of presenting hue, saturation, and intensity perceptions to the human visual system. Improvement on color images quality should therefore be considered to simultaneously enhance all these attributes. An efficient approach was here developed aiming at mitigating the heavy computational burden, in conventional approaches, arising from the need to transform the source color space into an alternative working space. Color correction based on the white-point assumption is first carried out, and then enhancement is derived from an intensity-guided operation that simultaneously improves the contrast and saturation qualities. Experiments were conducted using a collection of real-world images captured under various environment conditions and enhancements were obtained both in subjective viewing and metrics in colorfulness, saturation and contrast.]]
AB - ![CDATA[Digital color images, in three color channels, are capable of presenting hue, saturation, and intensity perceptions to the human visual system. Improvement on color images quality should therefore be considered to simultaneously enhance all these attributes. An efficient approach was here developed aiming at mitigating the heavy computational burden, in conventional approaches, arising from the need to transform the source color space into an alternative working space. Color correction based on the white-point assumption is first carried out, and then enhancement is derived from an intensity-guided operation that simultaneously improves the contrast and saturation qualities. Experiments were conducted using a collection of real-world images captured under various environment conditions and enhancements were obtained both in subjective viewing and metrics in colorfulness, saturation and contrast.]]
KW - color
KW - image processing
UR - http://handle.uws.edu.au:8081/1959.7/uws:34896
UR - http://seat.massey.ac.nz/conferences/icst2015/
U2 - 10.1109/ICSensT.2015.7438385
DO - 10.1109/ICSensT.2015.7438385
M3 - Conference Paper
SN - 9781479963140
SP - 172
EP - 176
BT - Proceedings of the 9th International Conference on Sensing Technology (ICST), 8-11 December 2015, Auckland, New Zealand
PB - IEEE
T2 - International Conference on Sensing Technology
Y2 - 8 December 2015
ER -