An Innovative Approach for Multi-Exposure Image Fusion by Optimizing A Structural Similarity Index
Keywords:
Multi-Exposure Image Fusion (MEF), Structural Similarity (SSIM)Abstract
Multi-exposure image fusion (MEF) is considered an effective quality enhancement technique widely adopted in consumer electronics, A single captured image of a real-world scene is usually insufficient to reveal all the details due to under- or over-exposed regions. In this paper a multi-exposure image fusion(MEF) algorithm by optimising a objective quality measure namely the MEF structural similarity index (MEF-SSIM). Specifically, first construct the MEF-SSIM index by improving upon and expanding the application scope of the existing MEF-SSIM algorithm. The final high quality image has little dependence on initial image.Experimental results demonstrate the superiority of the proposed method in terms of subjective and objective evaluation.
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