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- W3134574416 abstract "This chapter proposes a method for multi-exposure image reconstruction by energy-based fusion. The image has been taken from the unchanged sceneries with the dissimilar and multiple exposure time which gives a good image with the superimposed quality. Based on the previous techniques which has been followed, it ended up in the unclear textures as well as edges. To overwhelm the demerits, this technique fuses the input images details by the subjective middle function average and 8 neighborhood model. This idea gives fused images with less uncertainty and redundancy and concentrates on object focus, eminence, and clearance with similar resolution with energy as the parameter. By numerical analysis, the proposed method has certain merits over the earlier methods such as the capability to conserve all applicable data and exclusion of the aftereffects like sensitivity to error and reduction of contrast." @default.
- W3134574416 created "2021-03-15" @default.
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- W3134574416 date "2021-01-01" @default.
- W3134574416 modified "2023-09-27" @default.
- W3134574416 title "Multi-exposure Image Reconstruction by Energy-Based Fusion Technique" @default.
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- W3134574416 doi "https://doi.org/10.1007/978-981-15-8221-9_130" @default.
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