Binding: Paperback
Description: 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.
Title: Digital Image Enhancement And Reconstruction
Brand: Elsevier Science & Technology
Barcode: 9780323983709
Pages: 378 Pages
Publication Date: 10/11/2022
Series: Hybrid Computational Intelligence for Pattern Analysis and Understanding
Category: Machine Learning