Title :
Image color correction in DCT domain
Author :
Kharitonenko, Igor ; Wanqing Li
Author_Institution :
Fac. of Eng. & Inf. Sci., Univ. of Wollongong, Wollongong, NSW, Australia
Abstract :
A commonly used method of color correction for digital cameras utilizes a 3×3 correction matrix with the coefficients optimized to achieve maximum color fidelity. Although this operation leads to significant improvement in color rendering, it amplifies noise at the same time. This paper presents a new method of performing color correction in DCT domain that reduces noise amplification. The paper shows that the color correction operation performed in DCT domain is more computationally efficient than the same operation that is traditionally performed in the image domain. It is also shown that gamma correction can be applied before color correction because the introduced color distortions measured in the perceptually uniform CIE Luv color space are below the human sensitivity threshold and do not affect perceptual quality of processed images. As a result, the proposed solution leads to revision of the commonly used color processing/compression chain of digital cameras reducing its computational complexity and improving image quality.
Keywords :
cameras; computational complexity; discrete cosine transforms; image colour analysis; CIE Luv color space; DCT domain; color correction method; color distortions; color fidelity; color processing-compression chain; color rendering; computational complexity; digital cameras; human sensitivity threshold; image color correction; image domain; processed image perceptual quality; Colored noise; Digital cameras; Discrete cosine transforms; Image color analysis; Transform coding; Vectors; color correction; digital camera; noise reduction; transform domain processing;
Conference_Titel :
Consumer Electronics ?? Berlin (ICCE-Berlin), 2013. ICCEBerlin 2013. IEEE Third International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1411-1
DOI :
10.1109/ICCE-Berlin.2013.6698037