SpringerBriefs in Electrical and Computer Engineering Perceptual Image Coding with Discrete Cosine Transform - Ee-Leng Tan Woon-Seng Gan Kartoniert (TB)

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 the se 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.