DocumentCode
1672890
Title
A MMSE estimate for demosaicking
Author
Trussell, H. Joel
Author_Institution
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Volume
3
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
358
Abstract
Digital color cameras sample the continuous color spectrum using three or more filters; however, each pixel represents a sample of only one of the color bands. This arrangement is called a mosaic. To produce a full resolution color image, the recorded image must be processed to estimate the values of the pixels for all the other color bands. This restoration process is called demosaicking. This paper uses stacked notation to represent the mosaicked image capture and derives the minimum mean square error estimator for the demosaicked image. By making common assumptions, the restoration can be computed in a cost effective manner. This allows the user to apply most of the common adaptations that have been used in non-mosaicked sampled image processing to produce a variety of improved algorithms
Keywords
cameras; image colour analysis; image representation; image resolution; image restoration; image sampling; image segmentation; least mean squares methods; MMSE estimate; demosaicking; digital color cameras; full resolution color image; image capture; minimum mean square error estimator; mosaic; recorded image; restoration process; sample; stacked notation; Bayesian methods; Color; Convolution; Costs; Digital cameras; Digital filters; Discrete Fourier transforms; Image resolution; Image restoration; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.958125
Filename
958125
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