Journal Article10.1109/TCOM.1984.1096066
Scene Adaptive Coder
Wen-Hsiung Chen,W. Pratt +1 more
TL;DR: An efficient single-pass adaptive bandwidth compression technique using the discrete cosine transform is described, demonstrating excellent results for coding of color images at 0.4 bits/pixel corresponding to real-time color television transmission over a 1.5 Mbit/s channel.
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Abstract: An efficient single-pass adaptive bandwidth compression technique using the discrete cosine transform is described. The coding process involves a simple thresholding and normalization operation on the transform coefficients. Adaptivity is achieved by using a rate buffer for channel rate equalization. The buffer status and input rate are monitored to generate a feedback normalization factor. Excellent results are demonstrated for coding of color images at 0.4 bits/pixel corresponding to real-time color television transmission over a 1.5 Mbit/s channel.
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Citations
Signal compression based on models of human perception
Nuggehally Sampath Jayant,James D. Johnston,Robert J. Safranek +2 more
- 01 Oct 1993
TL;DR: It is proposed that fundamental limits in the science can be expressed by the semiquantitative concepts of perceptual entropy and the perceptual distortion-rate function, and current compression technology is examined in that framework.
951
A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile
Chun-Hsien Chou,Yun-Chin Li +1 more
TL;DR: A new quantitative fidelity measure, termed as peak signal-to-perceptible-noise ratio (PSPNR), is proposed to assess the quality of the compressed image by taking the perceptible part of the distortion into account.
707
•Journal Article
Data compression
D.R. Helman,Glen G. Langdon +1 more
TL;DR: The applications of digital data compression and the major components of compression systems are described and data modeling is discussed, and the role of entropy and data statistics is examined.
544
A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile
Chun-Hsien Chou
- 27 Jun 1994
TL;DR: In this article, a subband coding scheme based on estimation and exploitation of just-noticeable-distortion (JND) profile is presented to maintain high image quality with low bit-rates.
494
Patent
Adaptive block size image compression method and system
Chong U. Lee
- 26 Feb 1991
TL;DR: An image compression system and method for compressing image data for transmission each block and corresponding sub-blocks of pixel data is subjected to a discrete cosine transform (DCT) operation.
407
References
Discrete Cosine Transform
TL;DR: In this article, a discrete cosine transform (DCT) is defined and an algorithm to compute it using the fast Fourier transform is developed, which can be used in the area of digital processing for the purposes of pattern recognition and Wiener filtering.
5.1K
A Fast Computational Algorithm for the Discrete Cosine Transform
TL;DR: A Fast Discrete Cosine Transform algorithm has been developed which provides a factor of six improvement in computational complexity when compared to conventional DiscreteCosine Transform algorithms using the Fast Fourier Transform.
1.3K
Adaptive Coding of Monochrome and Color Images
Wen-Hsiung Chen,C. Smith +1 more
TL;DR: In this article, an efficient adaptive encoding technique using a new implementation of the Fast Discrete Cosine Transform (FDCT) for bandwidth compression of monochrome and color images is described.
528
Slant Transform Image Coding
TL;DR: A new unitary transform called the slant transform, specifically designed for image coding, has been developed, which possesses a discrete sawtoothlike basis vector which efficiently represents linear brightness variations along an image line.
235
Image Coding by Linear Transformation and Block Quantization
A. Habibi,P. Wintz +1 more
TL;DR: The feasibility of coding two-dimensional data arrays by first performing a two- dimensional linear transformation on the data and then block quantizing the transformed data is investigated.
193