HDR Colored Information Enhancement Based on Fuzzy Image Synthesization

High dynamic range of illumination may cause serious distortions and information loss in the viewing and further processing of digital images. On the other hand, digital processing can often improve the visual quality of real-world photographs or views. Recently, HDR imaging techniques have come into the focus of research because of their high theoretical and practical importance. If the scene to be viewed or processed has high dynamic range (dark and bright) illumination, 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 tone reproduction algorithm is introduced which may help in developing hardly or non-viewable features and content of color images. The method applies a multiple exposure time image synthesization technique where the red, green, and blue (RGB) color components of the pixels are handled separately. The modifications are supported by a fuzzy decision making system. In the output, the corresponding (modified) color components are blended. As a result, a high quality color HDR image is obtained, which contains the maximum level of details and color information.