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Depth map super-resolution and enhancement for time-of-flight cameras

This paper presents a novel method for solving the super-resolution (SR) and enhancement problem of depth maps captured by the Time-of-Flight (ToF) cameras. Using the registered color images combined with the edge information of original depth image as a prior, and employ the joint sparse representation model to obtain the common representation coefficients as another prior, we can get the solution—the high-resolution (HR) depth maps with low noise and accurate values through the two priors. The results show that our approach possess many advantages compared with the previous state-of-art methods.