{"product_id":"artificial-intelligence-in-digital-image-processing-theories-methods-and-applications-von-undefined","title":"Artificial Intelligence in Digital Image Processing: Theories, Methods, and Applications","description":"\n                                \n                \u003cp\u003e\n                                        This book is a focused, practice-driven resource organized around 10 key thematic sections, blending foundational AI knowledge with cutting-edge digital image processing applications—ideal for bridging theory and real-world use. It avoids generic coverage, instead diving into specialized, high-demand topics like deep learning fundamentals, deepfake technology, adversarial attacks in computer vision, adaptive cryptography, and generative AI-driven SAR-to-optical image translation. As a postgraduate handbook, it aligns perfectly with courses such as “AI Image Processing,” “Advanced Signal Processing,” and “Optical Information Security,” helping students grasp core concepts (e.g., Q-learning for cancer detection-related image segmentation, deep learning-based remote sensing classification) and build practical skills.\n                    \n                    \u003cbr\u003e\n                                        Beyond academia, it caters to a broad range of users: researchers and faculty gain insights into novel directions like secure image processing via optical cryptography and automated dataset generation (SciData-Factory), while industry professionals in remote sensing (secure data handling with dynamic optical transforms), cybersecurity (adversarial defense), and medical imaging (AI-aided cancer detection) find actionable solutions for real-world challenges. Self-learners and career changers benefit from its foundational content and coverage of in-demand skills (aligned with certifications like IEEE Signal Processing), and educational institutions or corporate L\u0026amp;D programs (tech, aerospace, healthcare) can adopt it for upskilling. Supplementary online resources—including topic-specific code and lecture slides—add further value, making the book essential for anyone working in AI-driven image processing.\n                \n                \u003c\/p\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783032128904\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Hardcover - 9783032128904","offer_id":58119438958917,"sku":"9783032128904","price":181.89,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/60204fb0-790f-4532-a4b7-a46c1a138bcf.jpg?v=1780201448","url":"https:\/\/shop.autorenwelt.de\/en\/products\/artificial-intelligence-in-digital-image-processing-theories-methods-and-applications-von-undefined","provider":"Autorenwelt Shop","version":"1.0","type":"link"}