Description
AI Deep Learning in Image Processing is an authoritative resource that bridges the gap between theoretical deep learning concepts and practical image processing applications. Written by Frank Y. Shih, this comprehensive 2026 edition explores how artificial intelligence and machine learning revolutionize image analysis, recognition, and manipulation.
The book covers essential topics including convolutional neural networks (CNNs), transfer learning, object detection, image segmentation, and image enhancement using deep learning frameworks. Readers will discover real-world applications across medical imaging, autonomous vehicles, facial recognition, and quality control systems.
Designed for researchers, engineers, and practitioners, this hardcover edition combines theoretical foundations with hands-on examples and case studies. Whether you’re new to deep learning or seeking to advance your expertise in image processing, this book provides the knowledge and tools needed to implement cutting-edge AI solutions in image-based applications.
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