Open access peer-reviewed Edited Volume

Introduction to Image Restoration Techniques

Yan Chai Hum

Universiti Tunku Abdul Rahman

Dr. Yan Chai Hum (MIET) registered as a Chartered Engineer (UK) and Professional Engineer (BEM) in 2016. He is also a holder of 5 registered patents in image processing.


Image Restoration Image Enhancement Observation Model Restoration Algorithm Boundary Effect Blur Identification Contrast Stretching Degrading Process Histogram Equalization Inverse Filter Wiener Filter Hamming

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About the book

The aim of image restoration amounts to repairing or reversing the defects that are associated with the degradation of an image. Degradation exists in several forms such as motion blur, noise, and camera misfocus. For instance, with motion blur, an accurate estimation can be acquired regarding the actual blurring function and reverse the blur to restore the original image. And in a case where the image is degraded by noise, the technique might attempt to compensate for the degradation it caused. The image restoration problem exists in numerous fields. A large majority of disciplines (for example, astronomy, medicine, forensics, and military) that acquire the images under imperfect conditions require restoration techniques.

This book aims to introduce implementation of several methods used in the image processing world to restore images, fundamentals of image restoration, followed by image enhancement, essence of the observation model, as well as several well-known restoration algorithms. The book also hopes to include in-depth discussion on boundary effects and blur identifications which are an important component in image restoration.

Publishing process

Book initiated and editor appointed

Date completed: October 28th 2021

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: January 24th 2022

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: April 14th 2022

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: June 13th 2022

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About the editor

Yan Chai Hum

Universiti Tunku Abdul Rahman

Dr. Hum Yan Chai is a researcher in artificial intelligence and computer vision. He received his B.Eng degree in biomedical engineering from the Universiti Teknologi Malaysia (UTM) in 2010, and graduated with a PhD degree in 2013 (UTM), his research topic being related to the application of artificial intelligence in medical image analysis. After completing his PhD, he worked as a senior engineer in the national ICT research center, MIMOS, for three years. During his tenure there, he was assigned to improve the algorithm quality of video analytics related to computer vision and to analyze the performance of various types of existing solutions. Dr. Hum (MIET) registered as a Chartered Engineer (UK) and Professional Engineer (BEM) in 2016. His research interests include computer vision, machine learning, data mining, pattern recognition, multiple-objectives optimization, signal processing, and medical image processing. He is passionate about conducting research and has published more than 30 international articles, authored 5 books, filed 18 patents, and won a number of research competition awards in Malaysia. He is currently serving as an Assistant Professor in the Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman.

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