Wavelet-Based Retinex Algorithm for Unmanned Aerial Vehicle Image Defogging

A wavelet-based Retinex algorithm for unmanned aerial vehicle image defogging is proposed to avoid edge fuzziness, image dinginess, noise pollution and inefficiency, etc. in classical Retinex. In light of different energy distribution of fog, noise and edge information of subjects in the wavelet dom...

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Bibliographic Details
Published in2015 8th International Symposium on Computational Intelligence and Design (ISCID) Vol. 1; pp. 426 - 430
Main Authors Fengzhi Fu, Fang Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2015
Subjects
Algorithm design and analysis
Histograms
HSV
Image color analysis
image defogging
Image edge detection
Reflection
Retinex
wavelet
Wavelet domain
Wavelet transforms
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ISBN9781467395861
1467395862
DOI10.1109/ISCID.2015.308

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Summary:A wavelet-based Retinex algorithm for unmanned aerial vehicle image defogging is proposed to avoid edge fuzziness, image dinginess, noise pollution and inefficiency, etc. in classical Retinex. In light of different energy distribution of fog, noise and edge information of subjects in the wavelet domain, this algorithm uses Retinex to restrain the influence of the fog, and adopts the wavelet threshold method to restrain noise while preserving the edge information, in order to reduce the influence of fog and noise of image. Experiment results show that this algorithm can effectively improve the degradation of foggy and enhance its definition.
ISBN:9781467395861
1467395862
DOI:10.1109/ISCID.2015.308