Low bit rate subband dct image compression

Yung Gi Wu; Shen Chuan Tai

doi:10.1109/30.585531

Low bit rate subband dct image compression

Yung Gi Wu, Shen Chuan Tai

Institute of Computer and Communication Engineering

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

1 Citation (Scopus)

Abstract

lias paper describes two novel methods to improve the efficiency of the subband coding by means of the energy compactness in the frequency domain. Our coding scheme employs a variable block size DCT to the subband signal to get high coding efficiency. A class driven segmentation is devised here as a variable block partition scheme. Besides, an information oriented coding strategy without side information is developed here. The strategy not only retain the image properties but also reduce the computation overhead. Simulations are carried out to the Lena image, and their results show the effectiveness of the two approaches especially for low bit rate applications.

Original language	English
Pages (from-to)	134-140
Number of pages	7
Journal	IEEE Transactions on Consumer Electronics
Volume	43
Issue number	2
DOIs	https://doi.org/10.1109/30.585531
Publication status	Published - 1997

All Science Journal Classification (ASJC) codes

Media Technology
Electrical and Electronic Engineering

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10.1109/30.585531

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abstract = "lias paper describes two novel methods to improve the efficiency of the subband coding by means of the energy compactness in the frequency domain. Our coding scheme employs a variable block size DCT to the subband signal to get high coding efficiency. A class driven segmentation is devised here as a variable block partition scheme. Besides, an information oriented coding strategy without side information is developed here. The strategy not only retain the image properties but also reduce the computation overhead. Simulations are carried out to the Lena image, and their results show the effectiveness of the two approaches especially for low bit rate applications.",

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Low bit rate subband dct image compression

Abstract

All Science Journal Classification (ASJC) codes

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