Digital Image Enhancement and Reconstruction

Digital Image Enhancement and Reconstruction
Author :
Publisher : Academic Press
Total Pages : 380
Release :
ISBN-10 : 9780323985789
ISBN-13 : 0323985785
Rating : 4/5 (89 Downloads)

Book Synopsis Digital Image Enhancement and Reconstruction by : Shyam Singh Rajput

Download or read book Digital Image Enhancement and Reconstruction written by Shyam Singh Rajput and published by Academic Press. This book was released on 2022-10-06 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Presents comprehensive coverage of digital image enhancement and reconstruction techniques Explores applications across range of fields, including intelligent surveillance systems, human-computer interaction, healthcare, agriculture, biometrics, modelling Explores different challenges and issues related to the implementation of various techniques for different types of images, including denoising, dehazing, super-resolution, and use of soft computing


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