Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this correspondence, we discuss the quality of images realized by a recently proposed method of generating a high-resolution image by superimposing multiple low-resolution images projected by different projectors. We show several fundamental properties of this method: 1) the accuracy of the image realization (e.g., resolution of the realized image) is heavily affected by the structures of the images to be realized, and 2) there is a tradeoff between the image quality and the maximum brightness of the images to be realized. These are properties peculiar to multiprojector super-resolution and are in contrast with multicamera super-resolution. The results will be helpful in evaluating the usefulness of the method.