Multiframe spatial resolution enhancement of color video
This paper focuses on the spatial resolution enhancement of a video sequence. In contrast to previous work with grayscale images and highly constrained motion, we present a technique for color video frames with general motion. The method consists of determining subpixel motion estimation between video frames and subsequently using these estimates along with the original low resolution frames to iteratively create a sequence of enhanced resolution frames. We present a novel motion estimation technique based on determining a set of candidate motion estimates per pixel. Experimental results for video sequences containing general motion are presented to verify our technique. Enhanced frames using this technique show significant improvement in both SNR and perceived visual quality over methods such as bilinear and cubic B-spline interpolation.