A Two-Dimensional Quantizer for Coding of Digital Imagery

Goeddel, T. W.; Bass, S.

doi:10.1109/tcom.1981.1094869

Cited by 6 publications

(1 citation statement)

References 4 publications

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“…where m (=16) is the total number of the pixels in the block and q is the number of 1-bits in the block. There are many variants of the basic quantization algorithm, see [2,4,5,9]. The difference lies in the selection of quantization threshold and/or in the quantization data stored.…”

Section: Block Truncation Codingmentioning

confidence: 99%

Block truncation coding with entropy coding

Fränti

Nevalainen

1995

IEEE Trans. Commun.

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Block Truncation Coding (BTC) is a simple and fast image compression algorithm wich achieves constant bit rate of 2.0 bits per pixel. The method is however suboptimal. In the present paper we propose a modification of BTC in which the compression ratio will be improved by coding the quantization data and the bit plane by arithmetic coding with an adaptive modelling scheme. The results compare favourable with other BTC variants. The bit rate for test image Lena is 1.53 bits per pixel with the mean square error of 16.51.

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Section: Block Truncation Codingmentioning

confidence: 99%

Block truncation coding with entropy coding

Fränti

Nevalainen

1995

IEEE Trans. Commun.

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Information preserving transmission systems of continuous‐tone picture signals for picture data base

Saitoh

Harashima

Miyakawa

1986

Electron. Comm. Jpn. Pt. I

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In a picture data base the picture quality required depends on the actual application of the picture signal. Therefore efficient reversible coding systems are needed. On the other hand, users demand easy searching of the required pictures. Considering the above facts, two kinds of information preserving transmission systems‐System 1 and System 2‐are proposed for picture data base treating 8‐bit PCM picture signals. In these systems, first, reference picture signal for user's reference are transmitted. Next, a supplementary transmission is performed. In System 1 a degenerate differential signal between PCM picture signal and reference picture signal is encoded and transmitted. In System 2, PCM picture signal is reversibly encoded and transmitted directly. In this paper, four kinds of coding systems are considered as coding system for reference pictures. The best performance has been achieved by discrete cosine transform coding. In addition, this paper presents a method for determining the better system in performance of supplementary transmissions of the two systems on the basis of signal‐to‐noise ratio of the reference picture. Finally, the realization of a transmission system is shown which combines the advantages of both Systems 1 and 2 by choosing the better system on the basis of coding performance at each reference picture.

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DPCM picture coding using two-dimensional quantizer

Krishnasami

Faruqui

1986

Signal Processing

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A Two-Dimensional Quantizer for Coding of Digital Imagery

Cited by 6 publications

References 4 publications

Block truncation coding with entropy coding

Block truncation coding with entropy coding

Information preserving transmission systems of continuous‐tone picture signals for picture data base

DPCM picture coding using two-dimensional quantizer

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