Title :
Color distortion correction without noise boost using multi-resolution analysis
Author :
Byung Kwan Park ; Kyung-Hoon Bae
Abstract :
This paper describes the novel method related to correcting color distortion in color imaging apparatus. Color images acquired from CMOS or CCD digital sensors can suffer from color distortion, which means that images from the sensors are different from those human being sees in the color space. The one of main reasons of this color distortion is crosstalk between adjacent pixels. To correct this kind of color distortion, existing methods are generally to multiply some gain coefficients in each color channel and this multiplication can cause noise boost and loss of detail information. This paper proposes the novel method which can not only preserve color distortion correction accuracy, but also suppress noise boost and loss of detail information based on the image fusion. Specifically the color and low frequency information in luminance channel are extracted from the color transformed image. And high frequency information is from the original image before color transform. The method to extract the low and high frequency information is based on the multi-resolution analysis with edge preserving filters.
Keywords :
feature extraction; filtering theory; image colour analysis; image denoising; image fusion; image resolution; CCD digital sensors; CMOS digital sensors; color channel; color distortion correction accuracy; color images; color imaging apparatus; color space; color transformed image; crosstalk; edge preserving filters; gain coefficients; high frequency information; image fusion; luminance channel; multiresolution analysis; noise boost; Colored noise; Image color analysis; Image fusion; Image sensors; Sensors; Transforms; color correction; edge preserving filter; image fusion; multiresolution analysis;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025130