Parallelized histogram equalization for gray scale images using GPUs in CUDA C++ in a consumer-producer aproach (streams, RDMA, InfiBands)
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Updated
May 11, 2023 - Cuda
Parallelized histogram equalization for gray scale images using GPUs in CUDA C++ in a consumer-producer aproach (streams, RDMA, InfiBands)
ImageContrastEnhancement is a demonstration of the capabilities of convolutional genetic algorithms in image processing, specifically in the area of contrast enhancement.
Code for the paper "Reflectance-guided, contrast-accumulated histogram equalization" published in ICASSP 2020.
This repository includes my work in the journey to learn Image Processing.
HLIPSCS: A Rapid and Efficient Algorithm for Image Contrast Enhancement
image processing project with implementing different transforms using Matlab power.
To read the given Sergei Prokudin Gorsky image file,perform simple mathematical computations on images and reconstruct using image pyramids and perform image adjustments such as improving contrast,brightness etc. and produce a clear image output
Satellite Image Enhancement Using an Ameliorated Balance Contrast Enhancement Technique
Step by step understanding & implementing the Histogram Equalization method
Image Processing and Computer Vision Projects
Fuzzy image contrast enhancement by Fuzziness Minimization
A Rust implementation of the Adaptive Gamma Correction with Weighting Distribution (AGCWD) algorithm
Contrast Enhancement of Medical Images
Images and video restoration in multiple-stages using MIRNETv2 model, additionally object detection on images and video through FASTER-RCNN . And complete web application in flask including responsive front-end
auto-correct contrast and brightness of photographed document
Desktop Application for Image Brightness Adjustment, Contrast Adjustment, Sharpening, Compressing using Huffman encoding
Web application implementation of Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution (AGCWD).
Send it the background color, returns black or white whichever is maximum Lc value
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