Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.

The Dark Channel Prior technique is implemented on FPGA using only Verilog code and no Intellectual Property, making it convenient to replicate using any simulator and any of the available FPGA boards, including those from Xilinx and Altera.

Re-colorize and enhance color fundus images. Image Enhancement Toolkit for Retinal Fundus Images (IETK-Ret).

Neural Ocean is a project that addresses the issue of growing underwater waste in oceans and seas. It offers three solutions: YoloV8 Algorithm-based underwater waste detection, a rule-based classifier for aquatic life habitat assessment, and a Machine Learning model for water classification as fit for drinking or irrigation or not fit.

A Matlab implementation of haze removal from a single image (RGB and Grayscale)

The code for haze removal using dark channel prior, which was a part of the self-driving car project

UTV：A novel dark channel prior guided variational framework for underwater image restoration

An c++ implementation of 《single image haze removal using dark channel prior》

This is the MATLAB source code of a haze removal algorithm, which dehazes a hazy input image using simple image enhancement techniques, such as detail enhancement, gamma correction, and single-scale image fusion.

Implementation of nighttime low illumination image enhancement using Dark/Bright channel priors

This is the implementation of the dehazing algorithm proposed in IBA-ICICT conference 2019

Robust Lane Detection in hazy/foggy environment using Encoder Decoder CNN & LSTM and Dark Channel Prior to tackle with hazy environemnt

Dehazing using dark channel prior

Single Image Haze Removal Using Dark Channel Prior

Advanced Real-Time Image Dehazing with Dark Channel Prior for Enhanced Computer Vision

🎓 Welcome to our final year project! We're tackling the issue of hazy images using the Dark Prior Channel method. 🌫️✨ Dust, fog, and haze often blur details, making visuals unclear. Our goal is to enhance images by removing these distortions, creating clearer and sharper visuals! 🚀📸

A python project to desmoke/dehaze image from the selected directory with human being and animal detection for the rescue operation during fire outbreaks or disasters etc. It can also be used for the normal dehazing operation on images.

Code of the following paper: He, K., Sun, J., & Tang, X. (2010). Single image haze removal using dark channel prior. IEEE transactions on pattern analysis and machine intelligence, 33(12), 2341-2353

🚀👀 --->Official repo of Dehaze Package <--- 📍Site live:https://homepage-28wgcx.streamlit.app/

The research goal is to quantitatively evaluate the performance of DCP Morphology and CAP HLP, individually and in combination with CLAHE, in improving image visibility and quality under hazy conditions. The findings aim to guide the selection and optimization of dehazing methods for enhanced computer vision in challenging environmental scenarios.