Turbulence is a fundamental process in a wide range of natural and laboratory systems. Experiments and observations often measure projected images of tracers in turbulent flows. Because the underlying ...

Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI methods face two ...

The primary goal of Super-Resolution (SR) is to reconstruct an image of higher quality from an image of lower quality. The Fourier transform helps in this process by recovering lost, high-frequency ...

Concerns about the risks posed by tampered images have been showing up regularly in the research over the past couple of years, particularly in light of a new surge of AI-based image-editing ...

Imagine working with special cameras that capture light your eyes can’t even see—ultraviolet rays that cause sunburn or infrared heat signatures that reveal hidden writing. Or perhaps using ...

Compression is a cornerstone of computational intelligence, deeply rooted in the theory of Kolmogorov complexity, which defines the minimal program needed to reproduce a given sequence. Unlike ...

The integration of additive manufacturing (AM) technology with compression molding (CM), has emerged as a high-performance composite manufacturing technology in recent years. In the AM-CM process, ...

In the course of MAT204: Linear Algebra, I along with my group partners explored the issue of low complex 2D Image Compression using the Haar Wavelets as the basis function, and also calculated the ...