In recent years, we have witnessed a massive growth in the generation of images on the
cyberspace which demands to develop automated solutions for effective content …

This work proposes a novel hybrid signal processing technique to extract information on
disbond-type defects from a single B-scan in the process of non-destructive testing (NDT) of …

In the recent trends of image processing, simultaneous image compression and fusion has
become the major subject of interest. The advantage of image compression is that, it …

In this work, the most promising ultrasonic signal processing methods—discrete wavelet
transform, variational mode decomposition and Hilbert transform—are applied for the …

Predicting phenotypes is a statistical and biotechnical challenge, both in medicine
(predicting an illness) and animal breeding (predicting the carcass economical value on a …

Medical image fusion is a technique in which useful information from two or more recorded
medical images is integrated into a new image to offer as much details as possible for …

The successful diagnosis of a disease depends on the accuracy of the image obtained from
medical imaging modalities. Medical image fusion acts as a'life saving tool'-thus it has …

We have developed a model-compression scheme for improving the efficiency of the
regularized Gauss-Newton inversion algorithm for marine controlled-source electromagnetic …

This paper describes the shear wavelet frame transform (SWFT) with two sets of block
matching for the application of image denoising. Using the SWFT, we can analyze …

Advances in wavelet transform have produces algorithms capable of surpassing the existing
digital signal processing. This paper presents a new wavelet transform computation method …