LiDAR fog simulation

[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738

python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"

Conditional Wasserstein Generative Adversarial Network for image-to-image translation.

Developed an AI System based on Generative Adversarial Networks (GANs) to predict and remove the Clouds and Fog from an Image captured from Satellite. Gets input of a Satellite Image with Clouds and outputs a predicted landscape without clouds. Demo prototype for my internship at ISRO Hyderabad campus National Remote Sensing Centre. Actual proje…

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

An Improved Air-Light Estimation Scheme for Single Haze Images Using Color Constancy Prior.

Haze degrades image quality and limits visibility especially in outdoor settings. This consequently affects performance on other high-level tasks such as object detection and recognition. The AOD network proposed by Boyi Li et. al. is an end-to-end CNN to de-haze an image. AOD takes as input a hazy image and generates a de-hazed image. Here i ha…

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