A Research for Fuzzy Image Restoration

2014 ◽  
Vol 955-959 ◽  
pp. 1085-1088 ◽  
Author(s):  
Xue Feng Wu ◽  
Yu Fan
Keyword(s):  
Image Processing ◽  
Image Restoration ◽  
Physical Model ◽  
Digital Image Processing ◽  
Digital Image ◽  
Computational Photography ◽  
Processing Technology ◽  
Image Process ◽  
Resolution Algorithm ◽  
Fuzzy Image

Computational photography and image processing technology are used to restore the clearness of images taken in fog scenes autmatically.The technology is used to restore the clearness of the fog scene,which includes digital image processing and the physical model of atmospheric scattering.An algorithm is designed to restore the clearness of the fog scene under the assumption of the albedo images and then the resolution algorithm is analysised.The algorithm is implemented by the software of image process ,which can improve the efficiency of the algorithm and interface.The fog image and defogging image are compared, and the results show that the visibility of the image is improved, and the image restoration is more clearly.

A Research for Image Defogging Algorithm

2013 ◽  
Vol 409-410 ◽  
pp. 1653-1656 ◽  
Author(s):  
Yu Fan ◽  
Xue Feng Wu
Keyword(s):  
Image Processing ◽  
Image Restoration ◽  
Physical Model ◽  
Digital Image Processing ◽  
Digital Image ◽  
Computational Photography ◽  
Processing Technology ◽  
Image Process ◽  
Image Defogging ◽  
Resolution Algorithm

Computational photography and image processing technology are used to restore the clearness of images taken in fog scenes autmatically.The technology is used to restore the clearness of the fog scene,which includes digital image processing and the physical model of atmospheric scattering.An algorithm is designed to restore the clearness of the fog scene under the assumption of the albedo images and then the resolution algorithm is analysised.The algorithm is implemented by the software of image process ,which can improve the efficiency of the algorithm and interface.The fog image and defogging image are compared, and the results show that the visibility of the image is improved, and the image restoration is more clearly .

Hydraulic Focusing Stability Detection Method Study Based on Digital Image Processing Technology

2012 ◽  
Vol 591-593 ◽  
pp. 1839-1843
Author(s):  
Lu Xiao ◽  
Lu Zhang ◽  
Hong Zhao ◽  
Wei Chen ◽  
Li Yuan
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Experimental Error ◽  
Detection Method ◽  
Processing Technology ◽  
Image Process ◽  
Process Technology ◽  
Good Reliability ◽  
Image Processing Technology

Hydraulic focusing technology is an important method in many researches about particles. But there is no reported direct real-time detection method to survey its stability. A novel and high resolution method is put forward, which is based on digital image processing technology to detect hydraulic focusing stability. And five parameters are designed to assess its stable performance. A set of experiments is implemented with different sample and buffer hydraulic focusing forming velocities, and the results and experimental error are discussed seriously. The conclusion can be drawn by the final experimental error analysis which is less than during all the detection course. It can be proved that this hydraulic focusing stability detection method based on digital image process technology has the advantages of the excellent precision, the fast processing speed and the good reliability.

Preliminary research on a method of outcrops extraction on Karst Gabin ecosystem based on digital image processing: the case of the Mengzi Gabin basin

2021 ◽  
Author(s):  
Zhe Yin ◽  
Zhijie Shan
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Technology ◽  
Rocky Desertification ◽  
Rock Outcrops ◽  
Bare Rock ◽  
Image Processing Technology ◽  
Karst Ecosystem ◽  
Bare Rock Rate

<p>Rock outcrops are common features of the karst ecosystem The bare rock rate is an important indicator for rocky desertification grades classification, and its accurate extraction can benefit for understanding the distribution characteristics of rock outcrops in desertification areas and the classification of rocky desertification grades. In order to explore the distribution pattern of surface bare rocks in the typical geomorphic environment of the Karst gabin basin, the Mengzi gabin basin was carried out as the research site. The combination of UAV shooting images and digital image processing technology were used, the characteristics of bare rock rate on the karst fault basin after vegetation restoration were shaped. Our results showed that digital image processing technology can be used for extraction of bare rock rate in Karst area, and the effective combination of UAV technology and digital image processing technology can quickly obtain bare rock rate data of typical landform in Karst gabin basins. After performing drone aerial photography on 26 typical landform information under different bare rock distribution conditions on the Mengzi gabin basin, the results of the image processing analysis showed that the bare rock rate is between 2.7%-28.9%. The research provide technical support for the assessment of the karst ecosystem degradation and the evaluation of the current status of rocky desertification in karst gabin basin</p>

BED DEFORMATION MEASUREMENT BASED ON DIGITAL IMAGE PROCESSING IN A PHYSICAL MODEL

2019 ◽  
Author(s):  
CHUNJING LIU ◽  
LEILEI GU ◽  
JING LU ◽  
FEI LIU ◽  
ZHIWEN ZHAO ◽  
...  
Keyword(s):  
Image Processing ◽  
Physical Model ◽  
Digital Image Processing ◽  
Digital Image ◽  
Deformation Measurement ◽  
Bed Deformation
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