Results 191 to 200 of about 36,775 (242)

Lightness constancy: from haze illusion to haze removal

Chinese Optics Letters, 2012
The human visual system processes lightness constancy to estimate reflectance under complex viewing conditions. We focus on the underlying reason the human visual system is conscious of haze, and discuss the single-image haze-removal problem based on lightness constancy from the beginning of haze illusion.
Cheng Li Cheng Li, Jianzhong Wang Jianzhong Wang, Qingshun Han Qingshun Han, Duyan Bi Duyan Bi   +3 more
openaire   +1 more source

Fast and efficient haze removal

2015 IEEE International Conference on Consumer Electronics (ICCE), 2015
This paper presents a fast and efficient method to remove the haze from a single image. The proposed method employs the maximum filter to reduce the artifacts arising in the transmission estimation, which can simplify the transmission refinement process without sacrificing the quality of the results.
Won-Tae Kim, Hyun-Woo Bae, Tae-Hwan Kim
openaire   +1 more source

Recent advancement in haze removal approaches

Multimedia Systems, 2021
Haze and fog are big reasons for road accidents. The haze occurrence in the air lowers the images quality captured by visible camera sensors. Haze brings inconvenience to numerous computer vision applications as it diminishes the scene visibility. Haze removal techniques recuperate the color and scene contrast.
Hira Khan, Bin Xiao, Weisheng Li, Nazeer Muhammad   +3 more
openaire   +1 more source

Haze removal on superpixel domain

2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2013
Haze and fog cause poor visibility for vision sensor, and make computer vision problems challenging. In this paper, we propose a new de-hazing method for single image on super-pixel domain. One of widely used approaches for de-hazing is to introduce dark channel prior.
Sang-Woo Noh, Byungtae Ahn, In So Kweon
openaire   +1 more source

Haze removal for image enhancement

SPIE Proceedings, 2005
We present a method to improve the quality of hazy digital images for digital photography applications. Most of the methods for haze removal that have been reported in the literature require either multiple images of the scene or auxiliary information, and are thus not suitable for digital photography applications.
Maria L. Groszek, Jan P. Allebach
openaire   +1 more source

Single image haze removal using dark channel prior

2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009
In this paper, we propose a simple but effective image prior-dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of outdoor haze-free images. It is based on a key observation-most local patches in outdoor haze-free images contain some pixels whose intensity is very low in at least one color ...
Kaiming, He, Jian, Sun, Xiaoou, Tang
openaire   +2 more sources

Haze removal from a single image

SPIE Proceedings, 2013
A procedure for haze detection and removal from a single image using dark channel and fast bilateral filter has been developed. It involves the analysis of the statistics of the haze images. The dark channel prior with the haze imaging model is used to estimate the parameters of the haze and recover a high quality haze-free image.
Lirong Li, Hongshi Sang, Chun Chang, Zhe Min   +3 more
openaire   +1 more source

A RETINEX based haze removal method

2012 IEEE 7th International Conference on Industrial and Information Systems (ICIIS), 2012
One of the most interesting problems in recent times in image processing and computer vision is fog, haze and rain removal from images. In this paper we shall consider the problem of haze removal. One of the latest haze removal algorithms proposed by Kaiming et al. [1] uses a dark channel prior based approach for haze removal.
Sudharsan Parthasarathy, Praveen Sankaran   +1 more
openaire   +1 more source

Image Haze Removal By Adaptive CycleGAN

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019
We introduce our machine-learning method to remove the fog and haze in image. Our model is based on CycleGAN, an ingenious image-to-image translation model, which can be applied to de-hazing task. The datasets that we used for training and testing are creatd according to the atmospheric scattering model.
Yi-Fan Chen, Amey Kiran Patel, Chia-Ping Chen   +2 more
openaire   +1 more source

Haze Removal Using Generative Adversarial Network

2021
The problem of haze removal has been addressed in many computer vision researches. Haze removal is the process of eliminating the degradation present in hazy images and getting the clearer counterpart. The presence of haze distorts the image, and as a result, it will be difficult to apply various image processing techniques on such images.
Amrita Sanjay, J. Jyothisha Nair, G. Gopakumar   +2 more
openaire   +1 more source