Yujin Zhang Knihy

Focusing on seven widely used image understanding techniques, this book serves as a thorough introduction for readers at different expertise levels. It guides them in applying these methods to solve practical problems while also highlighting the latest advancements in the field of image processing and analysis.

Focusing on image reconstruction technologies, the textbook covers region-based binocular and trinocular stereo vision, along with object, pattern, and relation matching. It offers insights into multi-sensor fusion and content-based retrieval principles and applications. With numerous examples and exercises, it serves as a comprehensive resource for graduate students in electrical engineering and computer science, effectively concluding their studies in image engineering.

The book delves into seven widely utilized image analysis techniques, offering insights into fundamental principles and practical applications. It highlights recent advancements in each method, equipping readers with the knowledge to tackle real-world image processing challenges effectively.

Advanced concepts in computer vision are explored in this textbook, building on foundational knowledge from its prerequisite. It covers essential principles, common methods, and practical techniques, making it suitable for graduate-level courses in related fields such as 3-D Computer Vision, Graphics, and Artificial Intelligence.

Focusing on image segregation and pattern recognition, this graduate textbook covers fundamental concepts, applications, and evaluation techniques. It delves into analyses of textiles, shapes, and motion, employing extensive mathematical tools throughout. Rich in examples and exercises, it equips students in electrical engineering and computer science with essential knowledge and skills for advanced studies in image understanding.

The book explores seven essential image processing techniques, including image de-noising, de-blurring, and repairing. It also covers advanced methods such as de-fogging, reconstruction from projection, watermarking, and super-resolution. Each technique is designed to enhance image quality and address specific challenges in the field of image processing.

This book constitutes the refereed conference proceedings of the 8th International Conference on Image and Graphics, ICIG 2015 held in Tianjin, China, in August 2015. The 164 revised full papers and 6 special issue papers were carefully reviewed and selected from 339 submissions. The papers focus on various advances of theory, techniques and algorithms in the fields of images and graphics.

This book constitutes the refereed conference proceedings of the 8th International Conference on Image and Graphics, ICIG 2015 held in Tianjin, China, in August 2015. The 164 revised full papers and 6 special issue papers were carefully reviewed and selected from 339 submissions. The papers focus on various advances of theory, techniques and algorithms in the fields of images and graphics.

This book constitutes the refereed conference proceedings of the 8th International Conference on Image and Graphics, ICIG 2015 held in Tianjin, China, in August 2015. The 164 revised full papers and 6 special issue papers were carefully reviewed and selected from 339 submissions. The papers focus on various advances of theory, techniques and algorithms in the fields of images and graphics.

This graduate textbook explains image geometry, and elaborates on image enhancement in spatial and frequency domain, unconstrained and constrained restoration and restoration from projection, and discusses various coding technologies such as predictive coding and transform coding. Rich in examples and exercises, it prepares electrical engineering and computer science students for further studies on image analysis and understanding.