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• W3008354288 abstract "This article introduces a novel optimally selected plateau limit (PL)-based histogram modification framework. This approach preserves the brightness and improves the contrast of an image effectively without introducing absurd visual deterioration, unnatural contrast effects, and structural artifacts. It also enhances the weak illumination situations, such as backlighting effect and the nonuniform illumination of images without introducing any undesirable artifacts. The proposed method based on the subhistogram and clipping operations utilizes the PLs to modify the histogram of the image before applying the histogram equalization approach. The salp swarm algorithm (SSA)-based optimization technique is incorporated to compute the optimal PLs or adaptive weighted limits. To prove the efficiency of the proposed algorithm, a comparative study is done with the well-known histogram-based processing techniques and state-of-art methods in the literature. Furthermore, well-recognized different evaluation parameters are considered to compare the proposed framework with other existing methods." @default.
• W3008354288 created "2020-03-06" @default.
• W3008354288 creator A5025735655 @default.
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• W3008354288 date "2020-09-01" @default.
• W3008354288 modified "2023-09-30" @default.
• W3008354288 title "Salp Swarm Algorithm-Based Optimally Weighted Histogram Framework for Image Enhancement" @default.
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• W3008354288 doi "https://doi.org/10.1109/tim.2020.2976279" @default.
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