Wavelet Transform for De - Noising and Enhancement
نویسندگان
چکیده
This paper describes an approach for accomplishing sub-octave wavelet analysis and its discrete implementation for noise reduction and feature enhancement. Sub-octave wavelet transforms allow us to more closely characterize features within distinct frequency bands. By dividing each octave into sub-octave components, we demonstrate a superior ability to capture transient activities in a signal or image more reliably. De-Noising and enhancement are accomplished through techniques of minimizing noise energy and nonlinear processing of transform coe cient energy by gain.
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