Titlebook: Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement; Teena Sharma,Nishchal K. Verma Book 2024 Th

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Book 2024ook, various image enhancement techniques under hazy and non-uniform illumination conditions are discussed. The book specifically provides a detail on how to approach image enhancement under different outdoor conditions using AI tools. The biggest benefit a reader would accrue is to get exposed to t

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Modified Transmission Map Estimation Function,nt feature. The inclusion of this saturation component aims to mitigate problems associated with over-saturation and over-dehazing, thereby enhancing the effectiveness of image quality improvement techniques in hazy conditions.

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Handbook of Blood and Blood Productsd utilizing global atmospheric light for image dehazing. In contrast, the method equalizes the illumination channel by employing the .-score weighting function for non-uniformly illuminated images. The chapter includes a comparative analysis to demonstrate the quantitative and visual effectiveness of the .-score approach.

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Blood Products: Red Cell Preparations,cene transmission. Finally, the observed hazy image undergoes dehazing through the atmospheric scattering model, utilizing the scene transmission and global atmospheric light. The chapter showcases an extensive set of experimental results, demonstrating the superior performance of image dehazing using the Type-2 fuzzy approach.

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