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)
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
ImageContrastEnhancement is a demonstration of the capabilities of convolutional genetic algorithms in image processing, specifically in the area of contrast enhancement.
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
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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
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Perform Histogram Analysis and perform various histogram-based enhancements, including histogram shift, histogram equalization, and contrast stretching. These techniques aim to improve the visual quality and enhance the contrast of digital images.
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).
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