Title :
Estimation of nonlinear transfer curves for conversion of color images to a known color space
Author :
Dubois, E. ; Konrad, J. ; Cantet, S.
Author_Institution :
INRS Telecommun., Verdun, Que., Canada
Abstract :
This paper presents a supervised algorithm for estimating the unknown nonlinearity undergone by the three color components of an image in the image acquisition process. The algorithm is based on the rank-one hypothesis, which postulates that the linear tristimulus values in a region of uniform surface color lie on a straight line through the origin. An objective function is formulated whose minimization yields the estimate of the unknown nonlinearity. Images corrected with the estimated inverse nonlinearity are shown to exhibit chromatic properties that are much more piecewise constant that in the original image. This property will be very useful in quantization and segmentation applications
Keywords :
image colour analysis; image segmentation; inverse problems; piecewise constant techniques; chromatic properties; color images; image acquisition process; image segmentation; inverse nonlinearity; known color space; linear tristimulus values; nonlinear transfer curves estimation; objective function minimisation; piecewise constant properties; quantization; rank-one hypothesis; supervised algorithm; uniform surface color; unknown nonlinearity; Business; Cameras; Color; Image coding; Image converters; Image segmentation; Quantization; Telecommunications; Transfer functions; Yield estimation;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.631965
