Proceedings ArticleDOI
Non-local Image Dehazing
Dana Berman,Tali Treibitz,Shai Avidan +2 more
- pp 1674-1682
TLDR
This work proposes an algorithm, linear in the size of the image, deterministic and requires no training, that performs well on a wide variety of images and is competitive with other state-of-the-art methods on the single image dehazing problem.Abstract:
Haze limits visibility and reduces image contrast in outdoor images. The degradation is different for every pixel and depends on the distance of the scene point from the camera. This dependency is expressed in the transmission coefficients, that control the scene attenuation and amount of haze in every pixel. Previous methods solve the single image dehazing problem using various patch-based priors. We, on the other hand, propose an algorithm based on a new, non-local prior. The algorithm relies on the assumption that colors of a haze-free image are well approximated by a few hundred distinct colors, that form tight clusters in RGB space. Our key observation is that pixels in a given cluster are often non-local, i.e., they are spread over the entire image plane and are located at different distances from the camera. In the presence of haze these varying distances translate to different transmission coefficients. Therefore, each color cluster in the clear image becomes a line in RGB space, that we term a haze-line. Using these haze-lines, our algorithm recovers both the distance map and the haze-free image. The algorithm is linear in the size of the image, deterministic and requires no training. It performs well on a wide variety of images and is competitive with other stateof-the-art methods.read more
Citations
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Proceedings ArticleDOI
Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features.
Guisik Kim,Junseok Kwon +1 more
TL;DR: This paper proposes an effective haze removal algorithm based on a single image, which is robust to the varying weather conditions, and produces better dehazing results than other conventional methods.
Journal ArticleDOI
Frequency component vectorisation for image dehazing
Nazeer Muhammad,Hira Khan,Nargis Bibi,Muhammad Usman,Naseer Ahmed,Shahid Nawaz Khan,Zahid Mahmood +6 more
TL;DR: The proposed algorithm recovers the haze-free image by utilising the atmospheric scattering model on low and high frequencies according to the edges of unpredicted change in the field depth using the non-local and frequency information retrieval.
Journal ArticleDOI
Region-based adaptive single image dehazing, detail enhancement and pre-processing using auto-color transfer method
TL;DR: In this paper , a region-based adaptive single image dehazing and detail enhancement for hazy environments is proposed, which classifies various regions of input hazy image as less affected, moderately affected, and more affected by haze; and subsequently dehazes adaptively according to the haze affected regions.
Journal ArticleDOI
Underwater Images Enhancement by Revised Underwater Images Formation Model
TL;DR: A revised underwater dehazing model aiming to eliminate the color of water directly while solving the problem of haze in the underwater images is proposed, and a multi-scale illumination fusion to reveal more details and low illumination parts of the image is designed.
Journal ArticleDOI
A generic tool for interactive complex image editing
TL;DR: This work presents an efficient interaction paradigm that approximates any per-pixel magnitude from a few user strokes by propagating the sparse user input to each pixel of the image by using a linear least-squares system of equations.
References
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Proceedings ArticleDOI
Visibility in bad weather from a single image
TL;DR: A cost function in the framework of Markov random fields is developed, which can be efficiently optimized by various techniques, such as graph-cuts or belief propagation, and is applicable for both color and gray images.
Journal ArticleDOI
Single image dehazing
TL;DR: Results demonstrate the new method abilities to remove the haze layer as well as provide a reliable transmission estimate which can be used for additional applications such as image refocusing and novel view synthesis.
Proceedings ArticleDOI
Fast visibility restoration from a single color or gray level image
TL;DR: A novel algorithm and variants for visibility restoration from a single image which allows visibility restoration to be applied for the first time within real-time processing applications such as sign, lane-marking and obstacle detection from an in-vehicle camera.
Proceedings ArticleDOI
Single image haze removal using dark channel prior
Kaiming He,Jian Sun,Xiaoou Tang +2 more
TL;DR: A simple but effective image prior - dark channel prior to remove haze from a single input image is proposed, based on a key observation - most local patches in haze-free outdoor images contain some pixels which have very low intensities in at least one color channel.
Journal ArticleDOI
Dehazing Using Color-Lines
TL;DR: A new method for single-image dehazing that relies on a generic regularity in natural images where pixels of small image patches typically exhibit a 1D distribution in RGB color space, known as color-lines is described.