DocumentCode :
557823
Title :
Optimal white-point setting for natural images considering content dependency
Author :
Qin, Shaoling ; Wang, Jinchan
Author_Institution :
Coll. of Comput. & Inf. Eng., Hohai Univ., Nanjing, China
Volume :
4
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1741
Lastpage :
1744
Abstract :
Image quality is one of the decisive factors for consumers when buying electronic display. White point is an important aspect affecting image quality evaluation. The paper investigated the preferred white-point setting for natural images considering content dependency. Images were generated by changing white-point from original image to different extent via image processing. The averaged preferred white point setting is close to previous research. In addition, the preferred white point settings are also investigated for desaturated images and blurred ones. The preferred white point for desaturated images is a little yellowish compared with those for original images. However, the preferred white point is not changed statistically when images are blurred.
Keywords :
image restoration; blurred image; content dependency; desaturated images; electronic display; image processing; image quality evaluation; natural images; optimal white-point setting; Birds; Dairy products; Dolphins; Educational institutions; Image color analysis; Image quality; Mobile communication; blurred images; desaturated images; perception experiment; white point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
Type :
conf
DOI :
10.1109/CISP.2011.6100560
Filename :
6100560
Link To Document :
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