Title :
Color plane interpolation using alternating projections
Author :
Gunturk, Bahadir K. ; Altunbasak, Yucel ; Mersereau, Russell
Author_Institution :
Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, 30332-0250, USA
Abstract :
Most commercial digital cameras have three types of color sensors (for red, green, and blue channels) that are placed on a detector surface according to a specific pattern. At the location of each pixel only one color sample is taken, and the values of the other colors must be interpolated using neighboring samples. This color plane interpolation is known as demosaicing; it is one of the important tasks in a digital camera pipeline. If demosaicing is not performed appropriately, images suffer from highly visible color artifacts. In this paper we present a new demosaicing technique that uses inter-channel correlation effectively in an alternating-projections scheme. We have compared this technique with various state-of-the-art demosaicing techniques, and it outperforms all of them, both visually and in terms of mean square error.
Keywords :
Artificial neural networks; Image restoration; Interpolation;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5745367