Abstract: Multi-modal image fusion aims to amalgamate pivotal information from various sensor sources to provide informative visual representation in imaging scenes. Rapid and precise fusion of images ...

The wavelet transform has become an influential tool in biosignal and medical image processing, facilitating denoising, feature extraction, compression, and analysis. This study conducts an extensive ...

Wavelet analysis is a relatively new tool for data analysis and signal processing. Similar to Fourier analysis, wavelet analysis identifies dominant periods or scales in one-dimensional and ...

Based on LOL-v1 (Previous/Paper) 0.9005 27.39 0.0383 The previous results reported in our paper for LOL-v2-Real were based on the LOL-v1 dataset, which we refer to as "Based_v1". Traditional Low-Light ...

In this paper we discuss how to use wavelet decompositions to select a regression model. The methodology relies on a minimum description length criterion which is used to determine the number of ...