Title :
Crosstalk correction technique for single sensor camera provided with Bayer color filter array
Author :
Andriani, Stefano ; Brendel, Harald
Author_Institution :
R&D Dept., ARRI - Arnold & Richter Cine Tech. GmbH, Munich, Germany
Abstract :
In this paper we present a three-step crosstalk correction algorithm for single sensor still or video cameras provided with a Bayer color filter array. The first step is performed off-line, during the calibration or the development of the camera; it estimates the sensor response to different colors and analyzes the crosstalk. In the second step, the algorithm corrects “on-the-fly” the raw data of the sensor by using the crosstalk model estimated in the first step. The third, optional, step can be included to remove the residual crosstalk from the second step. It consists of a low-pass filter and it can be omitted if other image rescaling steps are included into the image processing chain. The resulting technique has proved to be effective in removing the crosstalk without introducing any other visual artifacts.
Keywords :
Bayes methods; calibration; image sensors; low-pass filters; optical arrays; optical crosstalk; optical filters; optical information processing; sensor arrays; video cameras; Bayer color filter array; calibration; crosstalk correction technique; crosstalk model estimation; image processing; image rescaling; low-pass filter; on-the-fly algorithm; residual crosstalk; sensor response estimation; single sensor video camera; visual artifacts; Bayer color filter array; Image sensors; crosstalk;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738464