Fuzzy Fusion Based High Dynamic Range Imaging using Adaptive Histogram Separation
Abstract— Fuzzy Fusion Based High Dynamic Range Imaging using Adaptive Histogram Separation. In this work, a high dynamic range < Final Year Projects 2016 > HDR image generation method using a single input image is presented. The proposed approach generates over- and under-exposed images by making use of a novel adaptive histogram separation scheme. Thus, it becomes possible to eliminate ghosting effects which generally occur when several input image containing camera/object motion are utilized in HDR imaging. Additionally, it is proposed to utilize a fuzzy logic based approach at the fusion stage which takes visibility of the inputs pixels into account. Since the proposed approach is computationally light-weight, it is possible to implement it on mobile devices such as smart phones and compact cameras. Experimental results show that the proposed approach is able to provide ghost-free and improved HDR performance compared to the existing methods.
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