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A Multi-Scale Decomposition Based Haze Removal Algorithm

Authors: Xiaotong Wang; Xin Jin; Guanlei Xu; Xiaogang Xu;

A Multi-Scale Decomposition Based Haze Removal Algorithm

Abstract

The contrast and colors of images acquired in bad weather are usually poor. This paper proposed a simple method to remove haze based on a multi-scale decomposition method. Through the Fourier spectrum and Hough transform we obtain the directional images which are then used to decompose the image to IMFs. By a linear mapping, we manipulated the detail, luminance as well as color to enhance the degraded images. Experiments show the efficiency of the proposed method.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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