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Improved fuzzy logic supported HDR colored information enhancement

High dynamic range of illumination may cause serious distortions and information loss in the viewing and further processing of digital images. Recently, HDR imaging techniques have come into the focus of research because these methods are able to help in detecting details that bright environment washes out and they miss fewer details in dark environment. By applying HDR techniques, the performance of different image processing and computer vision algorithms, information enhancement, object and pattern recognition can also be improved. In this paper, a new fuzzy logic supported colored HDR information enhancement method is introduced which may help in developing hardly or non-viewable features and content of images. The method is an improvement of the previously introduced gradient based synthesized multiple exposure time HDR method and by applying a new fuzzy weighting of the input pictures, the quality of the output image can significantly be improved while the complexity of the method is decreased.