Image Data Compression Using 2-Level Weighted Vector Quantization
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This article is published in Journal of the Society of Instrument and Control Engineers.The article was published on 1990-02-28 and is currently open access. It has received 1 citations till now. The article focuses on the topics: Fractal transform & Texture compression.read more
Citations
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Adaptive coding of monochrome and color images
Wen-Hsiung Chen,C. Smith +1 more
TL;DR: 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, demonstrating excellent performance in terms of mean square error and direct comparison of original and reconstructed images.
References
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Journal ArticleDOI
An Algorithm for Vector Quantizer Design
Y. Linde,A. Buzo,Robert M. Gray +2 more
TL;DR: An efficient and intuitive algorithm is presented for the design of vector quantizers based either on a known probabilistic model or on a long training sequence of data.
Journal ArticleDOI
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.
Journal Article
Vector quantization
TL;DR: During the past few years several design algorithms have been developed for a variety of vector quantizers and the performance of these codes has been studied for speech waveforms, speech linear predictive parameter vectors, images, and several simulated random processes.
Journal ArticleDOI
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.
Journal ArticleDOI
Picture coding: A review
Arun N. Netravali,J.O. Limb +1 more
TL;DR: This paper presents a review of techniques used for digital encoding of picture material, covering statistical models of picture signals and elements of psychophysics relevant to picture coding, followed by a description of the coding techniques.