Performance analysis of reconstruction-based super-resolution for camera arrays
In this paper, we look into the possibility of combining multiple images captured by a camera array into a high-resolution image by reconstruction-based super-resolution. Specifically, we analyze the effect of camera array parameters, including the number of cameras, pixel size, and sampling interval, on the quality of the super-resolved image. Our experimental results show that the pixel size of the cameras is critical to the success of resolution enhancement and that only limited resolution gain is achievable if the pixel of the cameras is not sufficiently small. Our analysis serves as a guide to the design of high-resolution camera arrays.