Temporal color video demosaicking via motion estimation and optimal data fusing
Demosaicking of the color CCD sensor data is an important task in digital image/video acquisition. Due to the Nyquist frequency limit of color filter array (CFA), it is impossible to faithfully reconstruct some high frequency structures in the original scene if one is limited to the mosaic samples of a still frame. However, a color digital video camera captures a sequence of mosaic images and the temporal dimension provides a wealth of information about the scene via camera and object motions. With the help of adjacent CCD frames by motion estimation and statistical data fusion, we can significantly improve the demosaicking quality of the video sequence. This paper presents a general approach of temporal demosaicking. Our experimental results demonstrate clear advantages of the presented temporal color demosaicking approach over its intra-frame counterparts both in PSNR measure and subjective visual quality.