DocumentCode
2213293
Title
A Method of Nonlinear Compensation for Human Vision Contrast Resolution to Acquire the Best Image Quality in Low-Light-Level
Author
Xie Zheng-xiang ; Zhao Yuan ; Zhao Min ; Hu Qin ; Wang Zhi-fang
Author_Institution
Chongqing Med. Univ., Chongqing, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
1051
Lastpage
1054
Abstract
A method of nonlinear compensation for human vision contrast resolution (HVCR) is presented to acquire the best image quality in the conditions of low-light-level. In order to obtain the compensation depth for the best quality image, the best image quality assessment (BIQA) method is also proposed.
Keywords
data mining; image processing; best image quality assessment method; compensation depth; human vision contrast resolution; image quality; low light level; nonlinear compensation method; Biomedical engineering; Biomedical imaging; Humans; Image quality; Image resolution; Information entropy; Information science; Inspection; Instruments; Layout;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.63
Filename
5454755
Link To Document