Digital Image Enhancement and Reconstruction

This book PDF is perfect for those who love Computers genre, written by Shyam Singh Rajput and published by Academic Press which was released on 06 October 2022 with total hardcover pages 380. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Digital Image Enhancement and Reconstruction books below.

Digital Image Enhancement and Reconstruction
Author : Shyam Singh Rajput
File Size : 50,7 Mb
Publisher : Academic Press
Language : English
Release Date : 06 October 2022
ISBN : 9780323985789
Pages : 380 pages
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Digital Image Enhancement and Reconstruction by Shyam Singh Rajput Book PDF Summary

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

Digital Image Enhancement and Reconstruction

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

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