Adaptive Median Type Filter Based on Dempster-Shafer Evidence Theory for Fuzzy Image Restoration

2007 ◽  
Author(s):  
Tzu-Chao Lin
Keyword(s):  
Image Restoration ◽  
Evidence Theory ◽  
Fuzzy Image

A Research on the Optimization of Fuzzy Image

2013 ◽  
Vol 409-410 ◽  
pp. 1593-1596
Author(s):  
Xue Feng Wu ◽  
Yu Fan
Keyword(s):  
Mathematical Model ◽  
Image Restoration ◽  
Point Spread Function ◽  
Motion Blur ◽  
Inverse Filtering ◽  
Point Spread ◽  
Spread Function ◽  
Blurred Image ◽  
Blurred Images ◽  
Fuzzy Image

The restore algorithm of the image blurred by motion is proposed, and a mathematical model based on motion blur system is eomtrueted£®The Point spread function of the motion blur is given According to the characteristics of blurred images the parameters of point spread function are estimated ,and three methods are introduced for image restoration. The three methods are inverse filtering of image restoration, Lucy-Richardson image restoration and Wiener image restoration. The principles of the three image restoration methods are analyzed. The motion blurred image restoration experiment is made. The results show that the visibility of the image is improved, and the image restoration is more stable.

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.

Restoration of Medical Image Distortion Based on Improved Genetic Algorithm in Matlab Environment

2012 ◽  
Vol 538-541 ◽  
pp. 2097-2101
Author(s):  
Ming Zhu Lu ◽  
Si Xiang Zhang ◽  
Ping Hu ◽  
Hai Yi Sun
Keyword(s):  
Genetic Algorithm ◽  
Image Restoration ◽  
Medical Image ◽  
Simulation Experiment ◽  
Image Distortion ◽  
Improved Genetic Algorithm ◽  
Genetic Operator ◽  
Restoration Method ◽  
Fuzzy Image

In the process of imaging, transmission and recording, there would be some decline in the quality of medical image typically displayed as fuzzy image, distorition, noise, and so on. To remedy the defects of traditional genetic algorithm of image restoration, the image restoration method was presented based on coding design, species initialization, genetic operator and update mechanism. The simulation experiment on image distortion caused by motion was also carried out in MATLAB 7.0 environment.

Wiener Filter Based on the Image to Blur

2012 ◽  
Vol 591-593 ◽  
pp. 1567-1570
Author(s):  
Chao Da Chen ◽  
Si Qing Zhang ◽  
Chui Xin Chen
Keyword(s):  
Image Quality ◽  
Image Restoration ◽  
Point Spread Function ◽  
Signal To Noise Ratio ◽  
Wiener Filter ◽  
Point Spread ◽  
Spread Function ◽  
Degraded Image ◽  
Ill Posed ◽  
Fuzzy Image

Image restoration, refers to the removal or loss in the process of getting digital image degradation of the image quality, image restoration technology is the key to meet the requirements of the point spread function, degradation model is an ill-posed integral equations, in the frequency domain, when H ( U, V ) less or equal to zero, the noise will be amplified, the degraded image and interference in H ( U, V ) value of the spectrum will be small to restore the image influence. In view of the point spread function put forward Wiener filtering algorithm, the noise lead to ill-posed integral with specified signal-to-noise ratio to reduce image restoration effects, through the IPT toolbox for fuzzy image restoration, image quality to achieve the anticipated effect.

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