|Table of Contents|

Enhancement dark channel theory algorithm of fog image based on fourth-order PDE model

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2015年05期
Page:
544-
Research Field:
Publishing date:

Info

Title:
Enhancement dark channel theory algorithm of fog image based on fourth-order PDE model
Author(s):
Gao Yin1Yun Lijun2Shi Junsheng1Li Chengli1
1.Color and Image Vision Lab;
2.College of Information,Yunnan Normal University,Kunming 650500,China
Keywords:
image enhancement fourth-order partial differential equation model tolerance mechanism dark channel theory
PACS:
TP751; TP391
DOI:
-
Abstract:
To deal with the image hue and brightness distortion problems in the classic dark channel theory algorithm,the enhancement dark channel algorithm of fog image based on the fourth-order partial differential equations(PDE)model is proposed here.According to the threshold,the image is segmented by the tolerance mechanism and distinguishes between bright areas and dark channel areas,the transmission image is smoothed by the introduced fourth-order PDE model,and the image is precisly corrected by the tolerance mechanism.An defogging enhancement image is obtained through the dark channel theory.The subjective observation and objective evaluation show that the algorithm is better than the classic dark channel algorithm in the overall and details.

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Last Update: 2015-10-31