2018/10/20 by Kevin Beale, Jianbo Chen, Beale, Kevin +5
Engineering · Computer Science · #Image Processing Techniques and Applications #Advanced Image Processing Techniques #Sparse and Compressive Sensing Techniques
paper · pdf · doi:10.48550/arxiv.1810.08855
Resolution enhancements are often desired in imaging applications where\nhigh-resolution sensor arrays are difficult to obtain. Many computational\nimaging methods have been proposed to encode high-resolution scene information\non low-resolution sensors by cleverly modulating light from the scene before it\nhits the sensor. These methods often require movement of some portion of the\nimaging apparatus or only acquire images up to the resolution of a modulating\nelement. Here a technique is presented for resolving beyond the resolutions of\nboth a pointwise-modulating mask element and a sensor array through the\nintroduction of a controlled blur into the optical pathway. The analysis\ncontains an intuitive and exact expression for the overall superresolvability\nof the system, and arguments are presented to explain how the combination of\nrandom coding and blurring makes the superresolution problem well-posed.\nExperimental results demonstrate that a resolution enhancement of approximately\n4\× is possible in practice using standard optical components, without\nmechanical motion of the imaging apparatus, and without any a priori\nassumptions on scene structure.\n