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Journal ArticleDOI

Hybrid Coding of Pictorial Data

A. Habibi
- 01 May 1974 - 
- Vol. 22, Iss: 5, pp 614-624
TLDR
Two hybrid coding systems utilizing a cascade of a unitary transformation and differential pulse code modulators (DPCM) systems are proposed and the performance of this system is compared to the performances of the two- dimensional DPCM and the standard two-dimensional transform encoders.
Abstract
Two hybrid coding systems utilizing a cascade of a unitary transformation and differential pulse code modulators (DPCM) systems are proposed. Both systems encode the transformed data by a bank of DPCM systems. The first system uses a one-dimensional transform of the data where the second one employs two-dimensional transformations. Theoretical results for Markov data and experimental results for a typical picture are presented for Hadamard, Fourier, cosine, slant, and the KarhunenLoeve transformations. The visual effects of channel error and also the impact of noisy channel on the performance of the hybrid system, measured in terms of the signal-to-noise ratio of the encoder, is examined and the performance of this system is compared to the performances of the two-dimensional DPCM and the standard two-dimensional transform encoders.

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Citations
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Journal ArticleDOI

Displacement Measurement and Its Application in Interframe Image Coding

TL;DR: The motion compensation is applied for analysis and design of a hybrid coding scheme and the results show a factor of two gain at low bit rates.
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

Image coding using vector quantization: a review

TL;DR: First, the concept of vector quantization is introduced, then its application to digital images is explained, and the emphasis is on the usefulness of the vector quantification when it is combined with conventional image coding techniques, orWhen it is used in different domains.
Journal ArticleDOI

Image Compression Using Block Truncation Coding

TL;DR: In this paper, a new technique for image compression called block truncation coding (BTC) is presented and compared with transform and other techniques, which uses a two-level (one-bit) nonparametric quantizer that adapts to local properties of the image.
Journal ArticleDOI

Image data compression: A review

TL;DR: A large variety of algorithms for image data compression are considered, starting with simple techniques of sampling and pulse code modulation (PCM) and state of the art algorithms for two-dimensional data transmission are reviewed.
References
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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 ArticleDOI

Hadamard transform image coding

TL;DR: A high-speed computational algorithm, similar to the fast Fourier transform algorithm, which performs the Hadamard transformation has been developed, which provides a potential toleration to channel errors and the possibility of reduced bandwidth transmission.
Journal ArticleDOI

Block Quantization of Correlated Gaussian Random Variables

TL;DR: Substantial improvements over single sample quantizing are attained with blocks of relatively short length, and the final selection of the optimal set of quantizers becomes a matter of a few simple trials.
Journal ArticleDOI

Instantaneous companding of quantized signals

TL;DR: In this article, the quantizing error power is calculated as a function of the degree of companding, the number of quantizing steps, the signal volume, the size of the equivalent dc component, and the statistical distribution of amplitudes in the signal.
Journal ArticleDOI

Comparison of nth-Order DPCM Encoder With Linear Transformations and Block Quantization Techniques

TL;DR: The performance of an n th order DPCM system is studied and it is compared to the performance of the unitary-transform techniques (Hadamard, Fourier, and KarhunenLoeve) in coding two monochrome still pictures.