Venkatesh, YV and Ramani, K and Nandini, R (1993) Wavelet array decomposition of images using a Hermite sieve. In: Sadhana, 18 (2). pp. 301-324.
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Abstract
Generalized Hermite polynomials are used in a novel way to arrive at a multi-layered representation of images centred on the creation of a new class of wavelet arrays. The shape of the resolution cell in the `phase-space' is variable even at a specified scale, depending on the nature of the signal under consideration; and a systematic procedure is given for extracting the zero-crossings from the coefficients at various scales. This representation has been applied successfully to both synthetic and natural images, including textures
Item Type: | Journal Article |
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Publication: | Sadhana |
Publisher: | Indian Academy of Sciences |
Additional Information: | Copyright of this article belongs to Indian Academy of Sciences. |
Keywords: | Image representation;Wavelet transform;Multi-resolution; Generalized Hermite polynomials;Scale space;Signal decomposition;Windowed Fourier transform;Fourier series; Zero-crossings |
Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
Date Deposited: | 29 Jun 2006 |
Last Modified: | 19 Sep 2010 04:29 |
URI: | http://eprints.iisc.ac.in/id/eprint/7732 |
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