This repository contains the implementation of image contrast enhancement techniques using a hybrid approach that integrates Ant Colony Optimization (ACO), Genetic Algorithm (GA), and Simulated Annealing (SA). The algorithms have been designed to improve the visual quality of images by enhancing their contrast.

This lab explores essential image enhancement techniques using OpenCV in Python. Tasks include Contrast Stretching, Thresholding and Half Toning, Histogram Equalization, and Histogram Matching.

RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency Wavefronts

Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"

[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

Web application implementation of Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution (AGCWD).

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.

This is a resouce list for low light image enhancement

This module attempts to enhance contrast of a given image by equalizing its two dimensional histogram.

A volume processing toolbox written in C++ and CUDA. Works as standalone C++ application or with a dedicated GUI.

Image Processing and Computer Vision Projects

This module attempts to enhance contrast of a given image or video by employing a method called weighted thresholded histogram equalization (WTHE).

This module attempts to enhance contrast of a given image by employing a method called HBLPCE.

A tool to evaluate DCE- and T1-Analysis software using artificially created datasets

Geometric Ultrasound Localization Microscopy (MICCAI 23): Ellipse Intersections from Time-Difference-of-Arrival signals

Send it the background color, returns black or white whichever is maximum Lc value

A deep learning-based fully-automatic intravenous contrast detection tool for head-and-neck and chest CT scans.

Melhoria de contraste em imagens de nível de cinza utilizando o otimizador BMO com equalizador de histograma.

Parallelized histogram equalization for gray scale images using GPUs in CUDA C++ in a consumer-producer aproach (streams, RDMA, InfiBands)

This repository contains the code for improving images acquired through non-optimal exposure using various methods proposed in literature.