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- W3195033560 abstract "This paper proposes a novel optimized histogram modification framework using a cuckoo search (CS) algorithm for brightness preserved contrast enhancement. The histogram modification has been modeled as an optimization problem and the CS algorithm is used to find an optimum solution. The proposed method's chief objective is to find a fair tradeoff between contrast improvement and mean-brightness preservation. A new target histogram has been generated using the CS algorithm using a target function composed of tuning parameters. The extent of the image contrast range can be adjusted by selecting appropriately designed tuning parameters. The proposed technique can control the enhancement with the values chosen to fix the enhancement level and retain the enhanced image features. Finally, the optimized histogram generated from the CS algorithm is employed in the histogram equalization (HE) process to generate the final enhanced image. Its performance is validated with qualitative and quantitative assessment against well-known state-of-the-art techniques." @default.
- W3195033560 created "2021-08-30" @default.
- W3195033560 creator A5046792679 @default.
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- W3195033560 date "2021-11-01" @default.
- W3195033560 modified "2023-10-05" @default.
- W3195033560 title "Optimized histogram computation model using cuckoo search for color image contrast distortion" @default.
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- W3195033560 doi "https://doi.org/10.1016/j.dsp.2021.103203" @default.
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