A novel image encryption scheme based on chaotic apertured fractional Mellin transform
and its filter bank has been proposed in this paper. A nonlinear chaotic apertured fractional …

Subspace clustering is an extension of conventional clustering techniques that seeks to find
clusters in different subspaces within a data set with higher dimensions. But, recent research …

The raw echoed signal considered to be an input of signal processors of multireceiver
synthetic aperture sonar (SAS) system plays an important role in multireceiver SAS imaging …

Due to the complex dynamic characteristics, randomness, larger key space and better
sensitivity of hyper-chaotic system, it is very suitable for the application in image encryption …

The impressive increase in the rate of image transmission via internet has, more than ever,
highlighted the importance of image securing techniques. One of the efficient solutions to …

Until today, researchers have introduced a range of methodologies to decrease the noise
effect on medical images. In the proposed approach, an adapted deep convolutional neural …

To mitigate the noise effects without information loss at the edges of the radiological images,
a well-designed preprocessing algorithm is required to assist the radiologists. This paper …

This brief introduces an optimised architecture for a serial commutator (SC) pipelined fast
Fourier transform (FFT) with fully real data paths, utilising a novel data management scheme …

With increasing copyright violation cases, watermarking of digital images is a very popular
solution for securing online media content. Since some sensitive applications require image …

Image compression is a type of data compression technique, used to shrink costs for digital
images storage or transmission. Fast Fourier Transform (FFT) is an algorithm, which is …