Digital Image Enhancement and Reconstruction

Book Digital Image Enhancement and Reconstruction Cover

Download or read online Digital Image Enhancement and Reconstruction PDF book by Shyam Singh Rajput in ePUB, PDF or Kindle eBooks. Published by Academic Press in 06 October 2022 the book become immediate popular and critical acclaim in Computers books with total hardcover page 380. Click Download Book button to get book file. Read some info about this book below.

  • Author : Shyam Singh Rajput
  • Publisher : Academic Press
  • Release : 06 October 2022
  • ISBN : 9780323985789
  • Page : 380 pages
  • Language : English
  • Total View : 7213 Views
  • File Size : 49,6 Mb

Digital Image Enhancement and Reconstruction 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

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