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- W4214909744 abstract "Enhancement of images is a critical part of Computer vision for the processing of images. The objects with a low contrast ratio and low intensities are difficult to interpret by the system models for their further processing. In the present work, we have emphasized our approach in finding the correct methodology for the enhancement of images collected from different data sources. In the proposed approach, we have considered the maritime satellite imagery data and the images captured through camera (especially of ships). We have proposed a novel approach Modified Weighted Histogram Equalization method in which the alpha parameter is adjusted to the best optimized value and the presented work have been compared with other existing approaches such as adaptive gamma correction weighted distribution in terms of PSNR (Peak Signal to Noise Ratio), AMBE (Absolute mean brightness error) and processing time. The work gives the best accuracy results in enhancing the images which further may be used for different application of computer vision such as object detection, vessel classification, etc." @default.
- W4214909744 created "2022-03-05" @default.
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- W4214909744 date "2022-01-01" @default.
- W4214909744 modified "2023-09-28" @default.
- W4214909744 title "A Modified Weighed Histogram Approach for Image Enhancement Using Optimized Alpha Parameter" @default.
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- W4214909744 doi "https://doi.org/10.1007/978-981-16-7018-3_39" @default.
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