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- W4210370741 abstract "Image contrast enhancement methods have been a topic of interest in digital image processing for various applications like satellite imaging, recognition, medical imaging, and stereo vision. This paper studies the technique for image enhancement utilizing Adaptive Histogram Equalization and Weighted Gamma Correction to cater radiometric condition and illumination variations of stereo image pairs. In the proposed method, the stereo pair images are segmented together with weighted distribution into sub-histograms supported with Histogram Equalization (HE) mapping or gamma correction and guided filtering. The experimental result shows the experimented techniques outperform compare with the original image in evaluation parameters of visual quality and image enhancement parameters via Entropy, MSE, and PSNR, etc. taken for performance analysis and validation." @default.
- W4210370741 created "2022-02-08" @default.
- W4210370741 creator A5012391701 @default.
- W4210370741 date "2022-01-30" @default.
- W4210370741 modified "2023-10-18" @default.
- W4210370741 title "Enhancement of Digital Stereo Vision Images based on Histogram and Gamma Correction Strategy" @default.
- W4210370741 doi "https://doi.org/10.24996/ijs.2022.63.1.30" @default.
- W4210370741 hasPublicationYear "2022" @default.
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