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Fast and efficient haze removal
2015 IEEE International Conference on Consumer Electronics (ICCE), 2015This 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
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Haze removal for image enhancement
SPIE Proceedings, 2005We 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
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A simple haze removal algorithm to remove haze from videos
2017 International Conference on Computing Methodologies and Communication (ICCMC), 2017Outdoor images or videos taken in hazy climate often get degraded due to the effect of haze. There are several methods to remove haze from hazy images. Most of them oversaturates the dehazed images. This degrades the quality of images. The colour attenuation prior technique is one of the best algorithm to remove haze from images.
P. B Karthika, R. Sindhu
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Haze Identification and Classification Model for Haze Removal Techniques
2021In the modern age, several applications depend on the information collected from the images and its classification. However, due to the poor climatic conditions, the images captured by the camera are degraded in terms of contrast, brightness, color, and sharpness, which create hazy images.
Gaurav Saxena, Sarita Singh Bhadauria
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Heavy haze removal in a learning framework
2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2015Extreme weather hazards happens more often these days due to climate changes and increased human industrial activities, and one of most notorious of them is haze. State-of-the-art haze removal methods generally work well with light haze conditions, however when haze gets heavier, the physical model tend to produce over-shadowed, noisy, and color ...
Jie Chen 0026, Lap-Pui Chau
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Image Haze Removal By Adaptive CycleGAN
2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019We 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 +2 more
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A fast method of fog and haze removal
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016Fog and haze degrade the quality of preview and captured image by reducing the contrast and saturation. As a result the visibility of scene or object degrades. The objective of the present work is to enhance the visibility, saturation, contrast and reduce the noise in a foggy image.
Veeranjaneyulu Toka +4 more
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Comprehensive survey on haze removal techniques
Multimedia Tools and Applications, 2017Image haze removal techniques are extensively used in several outdoor applications. Lack of sufficient knowledge that is required to restore hazy images, the existing techniques usually use various attributes and assign constant values to these attributes. Unsuitable assignment to these attributes does not provide desired dehazing results.
Dilbag Singh, Vijay Kumar 0003
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Lightness constancy: from haze illusion to haze removal
Chinese Optics Letters, 2012The 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 +3 more
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Multiscale fusion of depth estimations for haze removal
2015 IEEE International Conference on Digital Signal Processing (DSP), 2015Restoration of haze images is important for the de-weathering issue in computer vision. The problem is ill-posed and can be regularized within a Bayesian context by using a probabilistic fusion model. This paper presents a multiscale depth fusion (MDF) method for dehazing from a single image.
Yuan-Kai Wang, Ching-Tang Fan
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