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Simultaneous detection and discrimination of fluoroquinolone (FQ) subtypes are crucial yet challenging due to their high similarity in molecular structure and optical properties. In this work, we ...

Image Denoising using CUDA Introduction Image denoising is a crucial step in many image processing and computer vision applications, including photography, medical imaging, and remote sensing. It ...

CUDA project for high-volume image processing. Contribute to Dhanu654/parallel-cuda-image-processing development by creating an account on GitHub.

Due to their inherent architecture, the discrete time model of Cellular nonlinear networks (CNNs) for image processing are well suited candidates for efficient implementation using massively parallel ...

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...

Additionally, we argue that the advantages of DSLs are complementary to CUDA graph, and joining the two techniques can benefit from the best of both worlds. Here, we propose a compiler-based approach ...