DocumentCode :
3138786
Title :
Vector Concepts-Based Spectral Modelling
Author :
Lukac, Rastislav ; Plataniotis, Konstantinos N.
Author_Institution :
Dept. of Electr. & Compupt. Eng., Toronto Univ., Ont.
fYear :
2006
fDate :
38838
Firstpage :
2009
Lastpage :
2012
Abstract :
This paper presents a unique spectral modelling approach suitable for digital camera image processing. The proposed vector model combines both the magnitude and directional characteristics of the vectorial RGB color inputs and enforces orientation constraints in an orthogonal color system to produce outputs which can simultaneously match luminance and chrominance characteristics of the captured image. Thus, the model enhances the performance of commonly used practical demosaicking solutions. Moreover, spectral models previously used in demosaicking can be seen as special cases of the proposed vector model
Keywords :
cameras; image colour analysis; spectral analysis; vectors; RGB color input; chrominance characteristics; digital camera image processing; image demosaicking; luminance characteristics; orthogonal color system; spectral modeling; vector concept; CMOS image sensors; Color; Colored noise; Digital cameras; Educational institutions; Electronic mail; Laboratories; Semiconductor device modeling; Sensor arrays; Vectors; Color imaging; single-sensor digital cameras; spectral modelling; vector model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
1-4244-0038-4
Electronic_ISBN :
1-4244-0038-4
Type :
conf
DOI :
10.1109/CCECE.2006.277313
Filename :
4054783
Link To Document :
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