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Autor(en): 
  • Woon-Seng Gan
  • Ee-Leng Tan
  • Perceptual Image Coding with Discrete Cosine Transform 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2015  
    Genre:  Naturwissensch., Medizin, Technik 
     
    C / Computer science—Mathematics / Computer Vision / Digital and Analog Signal Processing / Discrete Mathematics / Discrete Mathematics in Computer Science / engineering / Image processing
    ISBN:  9789812875426 
    EAN-Code: 
    9789812875426 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  SpringerBriefs in Electrical and Computer Engineering
    SpringerBriefs in Signal Processing  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1358 gr 
    Seiten:  69 
    Illustration:  VIII, 69 p. 35 illus., 6 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book first introduces classic as well as recent computational models for just-noticeable-difference (JND) applications. Since the discrete cosine transform (DCT) is applied in many image and video standards (JPEG, MPEG-1/2/4, H.261/3), the book also includes a comprehensive survey of computational models for JND that are based on DCT. The visual factors used in these computational models are reviewed in detail. Further, an extensive comparative analysis of these models using quantitative and qualitative performance criteria is presented, which compares the noise shaping performance of these models with subjective evaluation and the accuracy between the estimated JND thresholds and subjective evaluation. There are many surveys available on computational models for JND; however, these surveys seldom compare the performance of computational models that are based on DCT. The authors¿ survey of the computational models and their in-depth review of the visual factors used in them will help readers understand perceptual image coding based on DCT. The book also provides a comparative analysis of several perceptual image coders that are based on DCT, which are compatible with the highly popular and widely adopted JPEG standard.

      



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