Fuzzy Fusion Based High Dynamic Range Imaging using Adaptive Histogram Separation

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.