VQ-adaptive block transform coding of images

Hakan Caglar; Sinan Güntürk; Bülent Sankur; Emin Anarim

doi:10.1109/83.650855

VQ-adaptive block transform coding of images

Hakan Caglar, Sinan Güntürk, Bülent Sankur, Emin Anarim

Mathematics

Research output: Contribution to journal › Article › peer-review

Abstract

Two new design techniques for adaptive orthogonal block transforms based on vector quantization (VQ) codebooks are presented. Both techniques start from reference vectors that are adapted to the characteristics of the signal to be coded, while using different methods to create orthogonal bases. The resulting transforms represent a signal coding tool that stands between a pure VQ scheme on one extreme and signal-independent, fixed block transformation-like discrete cosine transform (DCT) on the other. The proposed technique has superior compaction performance as compared to DCT both in the rendition of details of the image and in the peak signal-to-noise ratio (PSNR) figures.

Original language	English (US)
Pages (from-to)	110-115
Number of pages	6
Journal	IEEE Transactions on Image Processing
Volume	7
Issue number	1
DOIs	https://doi.org/10.1109/83.650855
State	Published - 1998

Keywords

Coding gain
Orthogonal block transform
Permutation
Reference vector
Vector quantization

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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10.1109/83.650855

Cite this

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title = "VQ-adaptive block transform coding of images",

abstract = "Two new design techniques for adaptive orthogonal block transforms based on vector quantization (VQ) codebooks are presented. Both techniques start from reference vectors that are adapted to the characteristics of the signal to be coded, while using different methods to create orthogonal bases. The resulting transforms represent a signal coding tool that stands between a pure VQ scheme on one extreme and signal-independent, fixed block transformation-like discrete cosine transform (DCT) on the other. The proposed technique has superior compaction performance as compared to DCT both in the rendition of details of the image and in the peak signal-to-noise ratio (PSNR) figures.",

keywords = "Coding gain, Orthogonal block transform, Permutation, Reference vector, Vector quantization",

author = "Hakan Caglar and Sinan G{\"u}nt{\"u}rk and B{\"u}lent Sankur and Emin Anarim",

note = "Funding Information: Manuscript received September 23, 1995; revised January 13, 1997. This work was supported by T{\"U}BİTAK under Contract EEEAG-139. This work was presented in part at the IEEE International Conference on Nonlinear Signal and Image Processing, Neos Marmaros, Greece, June, 1995. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Nasser M. Nasrabadi.",

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T1 - VQ-adaptive block transform coding of images

AU - Caglar, Hakan

AU - Güntürk, Sinan

AU - Sankur, Bülent

AU - Anarim, Emin

N1 - Funding Information: Manuscript received September 23, 1995; revised January 13, 1997. This work was supported by TÜBİTAK under Contract EEEAG-139. This work was presented in part at the IEEE International Conference on Nonlinear Signal and Image Processing, Neos Marmaros, Greece, June, 1995. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Nasser M. Nasrabadi.

PY - 1998

Y1 - 1998

N2 - Two new design techniques for adaptive orthogonal block transforms based on vector quantization (VQ) codebooks are presented. Both techniques start from reference vectors that are adapted to the characteristics of the signal to be coded, while using different methods to create orthogonal bases. The resulting transforms represent a signal coding tool that stands between a pure VQ scheme on one extreme and signal-independent, fixed block transformation-like discrete cosine transform (DCT) on the other. The proposed technique has superior compaction performance as compared to DCT both in the rendition of details of the image and in the peak signal-to-noise ratio (PSNR) figures.

AB - Two new design techniques for adaptive orthogonal block transforms based on vector quantization (VQ) codebooks are presented. Both techniques start from reference vectors that are adapted to the characteristics of the signal to be coded, while using different methods to create orthogonal bases. The resulting transforms represent a signal coding tool that stands between a pure VQ scheme on one extreme and signal-independent, fixed block transformation-like discrete cosine transform (DCT) on the other. The proposed technique has superior compaction performance as compared to DCT both in the rendition of details of the image and in the peak signal-to-noise ratio (PSNR) figures.

KW - Coding gain

KW - Orthogonal block transform

KW - Permutation

KW - Reference vector

KW - Vector quantization

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VQ-adaptive block transform coding of images

Abstract

Keywords

ASJC Scopus subject areas

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