rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Digital image enhancement and reconstruction
  name:
    name part: Rajput, Shyam Singh
    role:
      role term: editor.
  name:
    name part: Khan, Nafis Uddin
    role:
      role term: editor.
  name:
    name part: Singh, Amit Kumar
    role:
      role term: editor.
  name:
    name part: Arya, Karm Veer
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxi, 355 pages) : illustrations (some color).
  abstract: 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.
  table of contents: Video enhancement and super-resolution -- On estimating uncertainty of fingerprint enhancement models -- Hardware and software based methods for underwater image enhancement and restoration -- Denoising and enhancement of medical images by statistically modeling wavelet coefficients -- Medical image denoising using convolutional neural networks -- Multimodel learning of social image representation -- Underwater image enhancement : past, present, and future -- A comparative analysis of image restoration techniques -- Comprehensive survey of face super-resolution techniques -- Fusion-based backlit image enhancement and analysis of results using contrast measure and SSIM -- Recent techniques for hyperspectral image enhancement -- Classification of COVID-19 and non-COVID-19 lung computed tomography images using machine learning -- Brain tumor image segmentation using K-means and fuzzy C-means clustering -- Multimodality medical image fusion in shearlet domain -- IIITM faces : an Indian face image database.
  note: edited by Shyam Singh Rajput, Nafis Uddin Khan, Amit Kumar Singh, Karm Veer Arya.
  note: Includes bibliographical references and index.
  subject:
    topic: Digital images
  subject:
    topic: Image processing
    topic: Digital techniques
  subject:
    topic: Images numériques
  subject:
    topic: Traitement d'images
    topic: Techniques numériques
  subject:
    topic: digital images
  subject:
    topic: digital imaging
  subject:
    topic: Digital images
  subject:
    topic: Image processing
    topic: Digital techniques
  classification: TA1637 .D54 2023
  classification: 777/.5
  related item:
    title info:
      title: Hybrid computational intelligence for pattern analysis and understanding series
  related item:
    identifier: (OCoLC)1289479845
  identifier: 0323985785
  identifier: 9780323983709
  identifier: 0323983707
  identifier: 9780323985789
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 221012
    record change date: 20260327173532.3
    record identifier: in00005770943
    language of cataloging:
      language term: eng