The lifting scheme offers a refined approach to implementing the Discrete Wavelet Transform (DWT) by decomposing traditional convolution-based filtering into a succession of simple, in-place ...

This textbook for undergraduate mathematics, science, and engineering students introduces the theory and applications of discrete Fourier and wavelet transforms using elementary linear algebra, ...

Abstract: Noise is a major factor in degrading the image quality of various medical images (MRI, CT scan, Ultrasound etc.). Speckle noise is a most common noise presents in all medical images ...

Wavelet analysis has gained recognition as a useful tool for analyzing time-frequency, and is playing an important role in signal and information processing. Wavelet analysis is not only based on a ...

Abstract: Directional information is an important and unique feature of multidimensional signals. As a result of a separable extension from 1D bases, the multidimensional wavelet transform has very ...

This project explores image denoising techniques using wavelet transforms, with a focus on BayesShrink and VisuShrink thresholding methods. The goal is to remove noise while preserving important image ...