Recent advances in triangular grid algorithms have revitalised the field of image processing by offering robust alternatives to the conventional square sampling schemes. These approaches utilise the ...

Colour quantization, the process of reducing the number of distinct colours in an image while maintaining visual fidelity, is a cornerstone of digital image processing and computer graphics. Rooted in ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

Dr. Megherbi presented CMINDS research on Speeding Up Real-time Digital Image Processing Algorithms at the Hardware Level at the IEEE CIVEMSA 2025 conference titled “Speeding Up Real-time Digital ...

Apple researchers have developed an AI model that dramatically improves extremely dark photos by integrating a diffusion-based image model directly into the camera’s image processing pipeline, ...

Machine learning is being integrated with medical image processing, one of the most useful technologies for medical diagnosis and surgery, greatly expanding the amount of useful information that can ...

The world of smart connected devices is dynamic and develops more sophisticated products to enhance our safety, convenience and entertainment. From surveillance to automotive safety systems and from ...

A new technical paper titled “Electron Microscopy-based Automatic Defect Inspection for Semiconductor Manufacturing: A Systematic Review” was published by researchers at KU Leuven and imec. “In this ...

While smartphone camera hardware keeps getting better, there’s a limit to how much can be packed into a phone before it becomes oversized and bulky. Therefore, the real magic happens on the software ...