Abstract: To fill in the huge gap between the rapid development of modern display devices with high dynamic range (HDR) and the mainstream media source with a low bit depth of 8, bit-depth enhancement ...

Abstract: In this letter, we propose a minimum mean square error (MMSE) directed linear interpolation to compose the high-resolution image from a single low ...

Linear interpolation has been adapted in many signal and image processing applications due to its simple implementa- tion and low computational cost. In standard linear interpolation the kernel is the ...

CoCoNuT is a light-weight Python package for efficient partitioned multi-physics simulations, with a focus on fluid-structure interaction. Thanks to its fully modular approach, the package is ...

Image processing and computer vision play crucial roles in data science, allowing for the extraction of information from images. Basic image transformation techniques include translation, parametric ...

Hello! This Web page is aimed at shedding some light on the perennial R-vs.-Python debates in the Data Science community. This is largely (though not exclusively) a debate between the Statistics (R) ...