Artificial Intelligence in Digital Image Processing.

Format:

Book

Author/Creator:

Chen, Hang.

Series:

Studies in Computational Intelligence Series

Studies in Computational Intelligence Series ; v.1246

Language:

English

Physical Description:

1 online resource (307 pages)

Edition:

1st ed.

Place of Publication:

Cham : Springer, 2026.

Summary:

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.

Contents:

Studies in Computational Intelligence

Artificial Intelligence in Digital Image Processing: Theories, Methods, and Applications

Preface

Acknowledgments

Contents

Fundamentals of Deep Learning

Deepfake in Image and Video Processing

Adversarial Attacks and Defenses in Computer Vision

Adaptive Cryptographic System Orchestration via Intelligent Agents

Encryption/Decryption with Dynamic Algorithm-Based Optical Transform for Remote Sensing Images

Classification of Typical Remote Sensing Images Based on Deep Learning

Deep Learning Applications in Optical Cryptography

SciData-Factory: An Automated Framework for Generating High-Quality Image-Text Datasets

SAR-to-Optical Image Translation Based on Generative Artificial Intelligence

Q-Learning Implementation for Decision Problems in Digital Image Processing: Application to Adaptive Image Segmentation in Histological Cancer Detection.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-12891-9

OCLC:

1591755959