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Fuzzy Fusion Based High Dynamic Range Imaging using Adaptive Histogram Separation
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DOI：10.1109/TCE.2015.7064119.png)
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摘要
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In this work, a high dynamic range (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(1).
Keyword:
High dynamic range
HDR
Histogram separation
Ghost-free
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6.8K
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