DocumentCode :
1740193
Title :
The primary research on image color quality evaluation
Author :
Jing, Tao ; Yubin Xia ; Yan, Lei
Author_Institution :
Inst. of Remote Sensing & Geogr. Inf. Syst., Peking Univ., Beijing, China
fYear :
2000
fDate :
2000
Firstpage :
201
Lastpage :
207
Abstract :
The image color and vision quality evaluation plays a very important role in the algorithm design and their optimizations of image reconstruction processing. As human eyes are the last receivers for image information, we build a general evaluation model on the HVS (human visual system) and HCPM (human color perception model). According to the psychology and physiology experiments and color perception tests, by which “representation without reconstruction” is the precondition of visual perception, we build a bottom-up information acquisition model under top-bottom feedback processing driven by knowledge. In the model, the visual information from different position with varied spatial resolution is dealt with the quantificational and qualitative analysis under the precondition of the guidance of the given task and well perceptional condition
Keywords :
colour vision; computer vision; feedback; image colour analysis; image reconstruction; visual perception; bottom-up information acquisition model; human color perception model; human visual system; image colour quality evaluation; image reconstruction processing; knowledge-driven top-bottom feedback processing; varied spatial resolution; Algorithm design and analysis; Color; Design optimization; Eyes; Humans; Image reconstruction; Physiology; Psychology; Testing; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
National Aerospace and Electronics Conference, 2000. NAECON 2000. Proceedings of the IEEE 2000
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-6262-4
Type :
conf
DOI :
10.1109/NAECON.2000.894911
Filename :
894911
Link To Document :
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