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

Image Convolution Using CUDA C

Real-time comparison of FPS when using GPU vs CPU for image convolution on your machine.

Parallel systems university project

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.

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.

Hybrid image generation from low- and high-pass filters utilising OpenIMAJ.

Implements various image processing techniques in Python, involving kernel convolutions and edge detection.

Comp3207