From Event: SPIE Optical Engineering + Applications, 2016
Recently, many efficient methods have been developed for dehazing using a single observed image. Such dehazing algorithms estimate scene depths and then compute the thickness of haze. However, since the problem is ill-posed, the restored image often contains artificial colors and overstretched contrast. In this work, we use multiple capturing of hazed images with three cameras to solve the dehazing problem. A new dehazing method with three multiple images is based on solution of explicit linear systems of equations derived from optimization of an objective function. The performance of the proposed method is compared with that of common dehazing algorithm in terms of accuracy of the quality of image restoration.
José L. López-Martínez, Vitaly Kober, and Manuel Escalante-Torres, "A dehazing algorithm with multiple simultaneously captured images," Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99711G (Presented at SPIE Optical Engineering + Applications: August 31, 2016; Published: 27 September 2016); https://doi.org/10.1117/12.2237902.
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