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 ...

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This project provides an interactive desktop application for comparing different image denoising algorithms on grayscale images corrupted by various types of noise. The primary goal is to demonstrate ...

The discrete wavelet transform (DWT) is essentially a set of bandpass filters and their efficient implementation. In this chapter, the implementation of the DWT using typical filters is described.

Abstract: Electrocardiogram (ECG) signal plays an important role in the primary diagnosis, prognosis and survival analysis of heart diseases. Several noise types are sources of ECG signal corruption ...

The Discrete Wavelet Transform (DWT) has gained the reputation of being a very effective signal analysis tool for many practical applications. This paper presents an approach towards VLSI ...

ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Wavelets provide new capabilities for analyzing real-time signals. This introductory article provides an overview and presents the basic mechanisms involved in wavelets. In many signal processing ...