Open access peer-reviewed Edited Volume

Recent Advances in Image Restoration with Applications to Real World Problems

Chiman Kwan

Signal Processing, Inc.


Image restoration image super-resolution image denoising image deblurring image dehazing image demosaicing deep learning monochrome image color image multispectral image hyperspectral image image fusion sparse representation image classification

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About the book

Image quality has played significant roles in many applications such as land cover classification in remote sensing, medical diagnosis, face recognition, object tracking, rover guidance, etc. In the past few decades, imaging hardware has improved tremendously in terms of resolution, making widespread usage of images in many diverse applications on Earth and planetary missions. However, practical issues associated with image acquisition are still affecting image quality. Some of these issues such as blurring, measurement noise, mosaicing artifacts, low spatial or spectral resolution, etc. can seriously affect the accuracy of the aforementioned applications. For instance, images captured in low lighting conditions using digital cameras with color filter arrays contain Poisson noise, degrading the demosaiced image quality. Another example is that, due to limited bandwidth and power, it is impossible to have both high spatial resolution and high spectral resolution concurrently in many remote sensing imagers. A third example is that the image quality may be degraded by environmental factors such as fog, haze, sand storms, cloud, etc. Image quality needs to be restored in order to make them usable for some practical applications. This book intends to provide the reader with a comprehensive overview of the current state-of-the-art and most recent advances in image restoration, which may include image denoising, image deblurring, image super-resolution, image fusion to enhance spatial, spectral resolution, and temporal resolutions, and image demosaicing to deal with poor lighting conditions. Some practical applications are also included.

Publishing process

Book initiated and editor appointed

Date completed: November 21st 2019

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 for chapter proposals: January 10th 2020

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Deadline for full chapters: March 15th 2020

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Full chapters peer reviewed

Review results due: May 27th 2020

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.

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Expected publication date: August 1st 2020

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About the editor

Chiman Kwan

Signal Processing, Inc.

Dr. Chiman Kwan is the founder of two R&D companies, working on projects related to fault tolerant control, image and video processing, remote sensing, diagnostics, structural health monitoring, and contingency planning for unmanned air vehicles. The past 32 years of research have resulted in 15 patents, 60+ invention disclosures, 350+ journal and conference papers, 500+ proprietary technical reports, and 120+ competitively selected projects from government and private companies totalling in more than 36 million dollars. He received several awards from IEEE, including finalist for 2003 Kayamori Best Paper Award, 2004 Ralph H. Lee Department Prize Paper Award, 2016 Mikio Takagi Best Student Paper Award (co-author), and 2019 Best Paper Award from IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference. He also received a certificate of recognition from NASA for his work on Auxiliary Power Unit monitoring in the Space Shuttle. He has been a keynote speaker on several international conferences.

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