AI Deep Learning in Image Processing

AI Deep Learning in Image Processing

Architect the visual intelligence of the next era and master the high-performance protocols of modern computer vision. AI Deep Learning in Image Processing provides a definitive, engineering-first roadmap to the most significant shift in digital perception since the invention of the digital camera. Learn how to move beyond basic pixel manipulation to high-velocity, automated visual recognition—bridging the gap between a raw image file and a sophisticated, context-aware system—ensuring your technical infrastructures are resilient, scalable, and ready for the 2026 global landscape.

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What You Will Learn:

Foundations of Deep Image Architectures: Master the core principles of Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), and Vision Transformers (ViTs).

Modern Object Detection & Segmentation: Step-by-step guidance on utilizing real-time frameworks like YOLO and Mask R-CNN to identify and isolate complex visual entities with professional-grade precision.

Image Restoration & Enhancement: Discover how to utilize super-resolution and de-noising algorithms to reconstruct high-fidelity data from degraded inputs.

Strategic Security & Forensic Analysis: Learn advanced techniques for maintaining information security through digital watermarking, deepfake detection, and biometric verification integrity.

Who This Book is For: This professional-grade guide is essential for Computer Vision Engineers, Data Scientists, and AI Researchers. It is an invaluable resource for any technical lead—including those building highly secure, facial recognition graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern, AI-enhanced software delivery.

Product Details:

Format: Digital PDF Download

Author: Frank Y. Shih

Publisher: CRC Press (Taylor & Francis)

ISBN-13: 9781032755304

ISBN-10: 103275530X