Hershey, Pennsylvania
New York, New YorkBeijing, China

Call for Chapters: Advances in the Progression of Image Processing to Computer Vision

Editors

Asim Niaz, Chung-Ang University, Korea, Republic Of
Muhammad Umraiz, Chung-Ang University, Korea, Republic Of
shafiullah Soomro, Linnaeus University, Sweden

Call for Chapters

Proposals Submission Deadline: May 14, 2025
Full Chapters Due: August 6, 2025
Submission Date: August 6, 2025

Introduction

Recent advancements in artificial intelligence have significantly transformed the fields of image processing and computer vision. As traditional techniques give way to more intelligent, data-driven methods, it is essential to explore how this progression shapes research and application across domains. The integration of deep learning, transformers, and generative AI into visual analysis has not only enhanced performance but also broadened the scope of computer vision. There is a growing need for a comprehensive resource that bridges classical image processing with modern AI-based techniques. This edited volume seeks original research addressing this transition and its impact across diverse real-world applications.

Objective

This book will aim to provide relevant theoretical foundations and the latest empirical insights into the evolution of image processing into modern computer vision. It will be written for professionals, researchers, and students seeking a comprehensive understanding of classical techniques and their transformation through deep learning, transformers, and generative models. By bridging foundational concepts with advanced vision systems and real-world applications, this book will serve as a timely and valuable reference that supports innovation and informed practice across academia, research, and industry.

Target Audience

The primary audience for this publication includes graduate students, researchers, practitioners, and industry professionals in computer vision, image processing, artificial intelligence, and related fields. Additionally, instructors teaching advanced undergraduate or graduate-level courses in image processing, machine learning, and computer vision will find this book a valuable teaching resource, thanks to its structured content, practical examples, and comprehensive coverage of foundational and advanced topics.

Recommended Topics

Part I: Introduction and Historical Context * Chapter 1: What is Image Processing and Computer Vision? * Chapter 2: Historical Evolution Part II: Foundations of Image Processing * Chapter 3: Digital Image Fundamentals * Chapter 4: Spatial Domain Filtering * Chapter 5: Frequency Domain Analysis * Chapter 6: Morphological Operations Part III: Bridging to Computer Vision * Chapter 7: Feature Detection and Extraction * Chapter 8: Image Segmentation Techniques * Chapter 9: Basics of Machine Learning for Vision Part IV: Modern Computer Vision * Chapter 10: Introduction to Deep Learning * Chapter 11: Deep Learning Architectures * Chapter 12: Transformers and Vision-Language Models * Chapter 13: Generative Models Part V: Advanced Applications and Case Studies * Chapter 14: Computer Vision in Autonomous Systems * Chapter 15: Medical and Industrial Vision Applications * Chapter 16: Edge Computing and Embedded Vision Part VI: Challenges and Future Directions * Chapter 17: Challenges in Real-world Deployment * Chapter 18: Emerging Trends and Future Outlook

Submission Procedure

Researchers and practitioners are invited to submit on or before May 14, 2025, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by May 28, 2025 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by August 6, 2025, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Advances in the Progression of Image Processing to Computer Vision. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global Scientific Publishing (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2026.



Important Dates

May 14, 2025: Proposal Submission Deadline
May 28, 2025: Notification of Acceptance
August 6, 2025: Full Chapter Submission
September 17, 2025: Review Results Returned
October 15, 2025: Final Acceptance Notification
October 22, 2025: Final Chapter Submission



Inquiries

Editor(s)
Advances in the Progression of Image Processing to Computer Vision
editor.cvbook@gmail.com



Classifications


Computer Science and Information Technology; Medicine and Healthcare; Security and Forensics; Physical Sciences and Engineering
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