Digital Image Enhancement and Reconstruction (Paperback)

Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image, analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications.

General

Imprint:	Academic Press Inc
Country of origin:	United Kingdom
Series:	Hybrid Computational Intelligence for Pattern Analysis and Understanding
Release date:	October 2022
First published:	2023
Editors:	Shyam Singh Rajput • Nafis Uddin Khan • Amit Kumar Singh • Karm Veer Arya
Dimensions:	229 x 152 x 23mm (L x W x T)
Format:	Paperback
Pages:	378
ISBN-13:	978-0-323-98370-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	0-323-98370-7
Barcode:	9780323983709

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