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The Digital Image Processing Method Using Triple-Density Discrete Wavelet Transformation  

Shin, Jong Hong (숭실사이버대학교 정보보안학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.8, no.3, 2012 , pp. 133-145 More about this Journal
Abstract
This paper describes the high density discrete wavelet transformation which is one that expands an N point signal to M transform coefficients with M > N. The double-density discrete wavelet transform is one of the high density discrete wavelet transformation. This transformation employs one scaling function and two distinct wavelets, which are designed to be offset from one another by one half. And it is nearly shift-invariant. Similarly, triple-density discrete wavelet transformation is a new set of dyadic wavelet transformation with two generators. The construction provides a higher sampling in both time and frequency. Specifically, the spectrum of the first wavelet is concentrated halfway between the spectrum of the second wavelet and the spectrum of its dilated version. In addition, the second wavelet is translated by half-integers rather than whole-integers in the frame construction. This arrangement leads to high density wavelet transformation. But this new transform is approximately shift-invariant and has intermediate scales. In two dimensions, this transform outperforms the standard and double-density discrete wavelet transformation in terms of multiple directions. Resultingly, the proposed wavelet transformation services good performance in image and video processing fields.
Keywords
High Density; Triple-Density; Shift Invariance; Wavelet; Scale;
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