This project implements 2D convolution using Fast Fourier Transform (FFT) on both CUDA and CPU. The software can apply kernels to individual images or directories containing multiple images. Used to ...

Developed and optimized a CUDA kernel for 2D convolution, accommodating a 2D input tensor and a 2D filter tensor, with transposed filter application. - kocavs/CUDA-Based-Image-Convolution. Skip to ...

New Image commands for the IMGOP function are FILTER allows user-provided Convolution Filters. This support is available in the Image Editor, in the SAS/AF Frame Image Data Object, and in Image SCL ...

In the field of digital image processing, the image data are required to operate for some enhancement operations such as image filtering, image restoration, image transformation, and so on. The memory ...

Most image processing algorithms are regional and two dimensional (2D) by nature. This implies that 2D convolver function has great consequences for image processing application. 2D Convolution ...

These so-called CUDA-C kernels are compact, specialized programs that run directly on Nvidia GPUs. They handle tasks like matrix multiplications and image processing, serving as the building blocks ...