Perceptual image coding with discret...
Gan, Woon-Seng.

 

  • Perceptual image coding with discrete cosine transform[electronic resource] /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    杜威分類號: 004.0151
    書名/作者: Perceptual image coding with discrete cosine transform/ by Ee-Leng Tan, Woon-Seng Gan.
    作者: Tan, Ee-Leng.
    其他作者: Gan, Woon-Seng.
    出版者: Singapore : : Springer Singapore :, 2015.
    面頁冊數: viii, 69 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Computer science - Mathematics.
    標題: Discrete cosine transforms.
    標題: Signal processing.
    標題: Image processing.
    標題: Computer engineering.
    標題: Engineering.
    標題: Signal, Image and Speech Processing.
    標題: Image Processing and Computer Vision.
    標題: Discrete Mathematics in Computer Science.
    ISBN: 9789812875433 (electronic bk.)
    ISBN: 9789812875426 (paper)
    內容註: Introduction -- Computational Models for Just-Noticeable-Differences -- Perceptual Image Coding with Discrete Cosine Transform -- Validation of Computational Model for JND -- Concluding Remarks.
    摘要、提要註: 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.
    電子資源: http://dx.doi.org/10.1007/978-981-287-543-3
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