Perceptual Image Coding with Discrete Cosine Transform
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Beschreibung
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.
In-depth review of the visual factors used in these computational models Strong focus on application of computational models that are based on the DCT subbands Contains analysis that helps the reader evaluate and select the appropriate computational models Includes Matlab source codes of representative computational models Includes supplementary material: sn.pub/extras
Autor*in
Ee-Leng Tan
Themen in »Perceptual Image Coding with Discrete Cosine Transform«
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