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.

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.

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…

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/