Characteristics analysis of wavelet coefficients and its applications in image compression

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Authors: Lang, F., Zhou, J., Tang, Y.Y., Yu, H., Cang, S. and Shang, Z.

Journal: IJWMIP

Volume: 12

DOI: 10.1142/S0219691314500283

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This data was imported from Scopus:

Authors: Lang, F., Zhou, J., Tang, Y.Y., Yu, H., Cang, S. and Shang, Z.

Journal: International Journal of Wavelets, Multiresolution and Information Processing

Issue: 2

ISSN: 0219-6913

DOI: 10.1142/S0219691314500283

Currently, the wavelet transform is widely used in the signal processing domain, especially in the image compression because of its excellent de-correlation property and the redundancy property included in the wavelet coefficients. This paper investigates the redundancy relationships between any two or three components of the wavelet coefficients, the wavelet bases and the original signal. We discuss those contents for every condition according to the continuous form and the discrete form, respectively, by which we also derive a uniform formula which illuminates the inherent connection among the redundancy of the wavelet coefficients, the wavelet bases and the original signals. Finally, we present the application of the wavelet coefficient redundancy property in the still image compression domain and compare the properties of the Discrete Wavelet Transform (DWT) with that of the Discrete Cosine Transform (DCT). © 2014 World Scientific Publishing Company.

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This data was imported from Web of Science (Lite):

Authors: Lang, F., Zhou, J., Tang, Y.Y., Yu, H., Cang, S. and Shang, Z.

Journal: INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING

Volume: 12

Issue: 3

eISSN: 1793-690X

ISSN: 0219-6913

DOI: 10.1142/S0219691314500283

The data on this page was last updated at 04:42 on September 24, 2017.