Perceptual Image Coding with Discrete Cosine Transform

  • Ee-Leng Tan
  • Woon-Seng Gan

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Also part of the SpringerBriefs in Signal Processing book sub series (BRIEFSSIGNAL)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Ee-Leng Tan, Woon-Seng Gan
    Pages 1-2
  3. Ee-Leng Tan, Woon-Seng Gan
    Pages 3-19
  4. Ee-Leng Tan, Woon-Seng Gan
    Pages 21-41
  5. Ee-Leng Tan, Woon-Seng Gan
    Pages 43-61
  6. Ee-Leng Tan, Woon-Seng Gan
    Pages 63-64
  7. Back Matter
    Pages 65-69

About this book

Introduction

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.

Keywords

Contrast Masking Contrast Sensitivity Function (CSF) Discrete Cosine Transform (DCT) Human Visual System (HVS) Just-Noticeable-Difference (JND) Noise Shaping Performance SpringerBriefs in Signal Processing

Authors and affiliations

  • Ee-Leng Tan
    • 1
  • Woon-Seng Gan
    • 2
  1. 1.School of Electrical and Electronic EngineeringNanyang Technological UniversitySingaporeSingapore
  2. 2.School of Electrical & Electronic EngrNanyang Technological UniversitySingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-287-543-3
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-287-542-6
  • Online ISBN 978-981-287-543-3
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book
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