Prototypes for GPGPU on Android, using OpenCL, OpenGL ES 2.0 shaders, or RenderScript.
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Updated
Jan 10, 2015 - C
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
Real-time comparison of FPS when using GPU vs CPU for image convolution on your machine.
Image convolution written in Racket
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.
Image Convolution in Python and C
Parallel image processing system with pipeline workers
This is an academic experiment comparing CPU and GPU performance using CUDA and OpenMP. It involves implementing three algorithms: Standard Deviation Calculation, Image Convolution, and Histogram-Based Data Structure, optimised for parallel execution to demonstrate performance improvements on different hardware architectures.
Comp3207
projects for the course of "Calcolo Distribuito e sistemi ad alte prestazioni" at Unipg (Università degli studi di Perugia) - 2019
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