Results 201 to 210 of about 1,106,531 (257)
Combined Haze and Cirrus Removal for Multispectral Imagery
IEEE Geoscience and Remote Sensing Letters, 2016 Multispectral satellite images are often contaminated by haze and/or cirrus. A previous paper presented a haze removal method that calculates a haze thickness map (HTM) based on a local search of dark objects. The haze-free signal is restored by subtracting the HTM from the hazy image assuming an additive model of the haze influence.
Makarau, Aliaksei +3 more
openaire +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Variational Single Nighttime Image Haze Removal With a Gray Haze-Line Prior
IEEE Transactions on Image Processing, 2022Influenced by glowing effects, nighttime haze removal is a challenging ill-posed task. Existing nighttime dehazing methods usually result in glowing artifacts, color shifts, overexposure, and noise amplification. Thus, through statistical and theoretical analyses, we propose a simple and effective gray haze-line prior (GHLP) to identify accurate hazy ...
Anna Wang, Chen Liu, Wenhui Wang
exaly +3 more sources
Hardware Implementation for Real-Time Haze Removal
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2017Haze removal is useful in computational photography and computer vision applications. Although many haze removal algorithms have been proposed, their computational efficiency requires improvement. A real-time haze removal method is presented in this paper. The method is based on the concept of a dark channel prior.
Bin Zhang
exaly +3 more sources
A Deep Learning Model for Incorporating Temporal Information in Haze Removal [PDF]
Remote Sensing of Environment, 2022 Haze contamination is a very common issue in remote sensing images, which inevitably limits data usability and further applications. Several methods have been developed for haze removal, which is an ill-posed problem.
Xiaohua Tong +2 more
exaly +3 more sources
A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior [PDF]
IEEE Transactions on Image Processing, 2015 Single image haze removal has been a challenging problem due to its ill-posed nature. In this paper, we propose a simple but powerful color attenuation prior for haze removal from a single input hazy image.
Jiaming Mai, Ling Shao, Qingsong Zhu
exaly +2 more sources
Haze Detection and Removal in Remotely Sensed Multispectral Imagery [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2014 Haze degrades optical data and reduces the accuracy of the data interpretation. Haze detection and removal is a hallenging and an important task for optical multispectral data correction.
Rupert Müller +2 more
exaly +2 more sources
Dense Haze Removal by Nonlinear Transformation
IEEE Transactions on Circuits and Systems for Video Technology, 2022Images captured in hazy or foggy weather conditions, suffer from various problems, such as limited visibility, low contrast, color distortions. These images are used in many computer vision applications, such as video surveillance, transportation, remote sensing.
Subhash Chand Agrawal, Anand Singh Jalal
openaire +1 more source
Recent advancement in haze removal approaches
Multimedia Systems, 2021Haze 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 +3 more
openaire +2 more sources
Haze Removal: Push DCP at the Edge
IEEE Signal Processing Letters, 2020In the task of haze scene restoration, dark channel prior is the most convincing theory. Its biggest contribution is to introduce the concept of dark channel map, which is convenient for acquiring initial transmission. Minimum filter is the basic operation for dark channel map.
Yan Yang, Zhiwei Wang
openaire +1 more source
Haze removal on superpixel domain
2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2013Haze 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 +2 more sources