Digital Image Processing Fundamentals

Author: Zhu Hong
Publisher:
Publish Date: 2005-04-01
Features: This book is based on the important foundational part of the author's recent years of teaching and research. It primarily introduces the fundamental methods of digital image processing, which not only includes classical methods but also includes methods proposed in recent years through research. The book is divided into 11 chapters, focusing on introducing basic concepts of images, image enhancement, image geometric transformations, image denoising, image sharpening, image segmentation, binary image processing, color image processing, image transformations, and image compression coding. During the writing process, the author paid special attention to ensuring that readers can understand and master the content. This book can serve as a textbook or reference book for undergraduate or graduate students in information and communication engineering, signal and information processing, applied mathematics, electronics, automation, and related fields at universities. It can also be used as a reference for engineering technicians and researchers involved in related research and application fields.