Mastering Image Dehazing - Naz, Rahat;Ansari, Mohd. Aquib
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"Mastering Image Dehazing: Techniques and Algorithms in AI" explores advanced techniques in image dehazing, focusing on improving visual clarity for applications like aerial photography, surveillance, and remote sensing. It introduces innovative approaches such as Globally Guided Image Filtering (G-GIF) and deep learning models, offering solutions for single-image dehazing. With practical implementation in MATLAB and a focus on perceptual fog density, it presents significant advancements in recovering fine details and enhancing image quality. Aimed at researchers and professionals, this work…mehr

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Produktbeschreibung
"Mastering Image Dehazing: Techniques and Algorithms in AI" explores advanced techniques in image dehazing, focusing on improving visual clarity for applications like aerial photography, surveillance, and remote sensing. It introduces innovative approaches such as Globally Guided Image Filtering (G-GIF) and deep learning models, offering solutions for single-image dehazing. With practical implementation in MATLAB and a focus on perceptual fog density, it presents significant advancements in recovering fine details and enhancing image quality. Aimed at researchers and professionals, this work serves as a concise guide to mastering modern dehazing methods.
Autorenporträt
Rahat Naz pracuje jako adiunkt na Uniwersytecie IILM, posiadaj¿c solidne do¿wiadczenie w dziedzinie technologii i badä. Jest oddana wywieraniu znacz¿cego wp¿ywu na ¿rodowisko akademickie.Dr Mohd. Aquib Ansari pracuje jako adiunkt na Uniwersytecie Bennett w Greater Noida. Jego zainteresowania badawcze obejmuj¿ Computer Vision i AI\ML.