There are 1 repository under image-convolution topic.
Prototypes for GPGPU on Android, using OpenCL, OpenGL ES 2.0 shaders, or RenderScript.
🖼️ Parallel Image Convolution, applying a blur filter to images. Written in C, optimized in three different ways: MPI, MPI & OpenMP and CUDA.
Creating and demonstrating hybrid images with OpenCV and Python3.
Various Small Projects on Various Subjects
This repository contains a solutions for the exercises in the "Math Concepts For Developers" course at SoftUni .
JavaScript image processing examples
Example of convolutional filters on images
The projects are a part of the course CSE-573 : Computer Vision and Image Processing, that I had taken up for Fall 2019 at the University at Buffalo.
Implementation of an efficient convolution between 3D tensors and 4D tensors.
Image processing in Python. Reading, converting to different formats, implementing filtering, convolving images, detecting edges, cropping and resizing images
Parallel systems university project
Image Convolution Using CUDA C
Real-time comparison of FPS when using GPU vs CPU for image convolution on your machine.
Efficient 2D convolution utils with large compute to data-movement ratio, by using run-time indexing on maintained operation lineage
Comp3207
This project involves performing a valid convolution on a 300x300 image using a 5x5 kernel (stride 1) with multithreading. The goal is to efficiently apply the convolution filter using multiple threads and display the results on a histogram graph. The implementation ensures thread safety and utilizes OpenMP for parallelization.
projects for the course of "Calcolo Distribuito e sistemi ad alte prestazioni" at Unipg (UniversitĂ degli studi di Perugia) - 2019
Parallel image processing system with pipeline workers
Image Convolution in Python and C
A website to play around with image convolutions.
Hybrid image generation from low- and high-pass filters utilising OpenIMAJ.
Implements various image processing techniques in Python, involving kernel convolutions and edge detection.
image filters using convolution operations and mathematical kernels
Examples of GPGPU utilization in F# using Brahma.FSharp
This is a simple assignment on a basic working of convolusion on a grayscale image with use of padding.
ParallelPerformance – Benchmarking CPU vs. GPU performance with CUDA and OpenMP for optimized parallel execution of computational algorithms.