Experimental study of bidirectional confidential with median filter on global based optical flow model under non Gaussian noise contamination

2015 ◽  
Author(s):  
Darun Kesrarat ◽  
Vorapoj Patanavijit
Keyword(s):  
Experimental Study ◽  
Optical Flow ◽  
Gaussian Noise ◽  
Flow Model ◽  
Median Filter ◽  
Non Gaussian ◽  
Noise Contamination

scholarly journals Experimental analysis of non-Gaussian noise resistance on global method optical flow using bilateral in reverse confidential

2021 ◽  
Vol 10 (2) ◽  
pp. 716-723
Author(s):  
Darun Kesrarat ◽  
Vorapoj Patanavijit
Keyword(s):  
Optical Flow ◽  
Gaussian Noise ◽  
Experimental Analysis ◽  
Displacement Vector ◽  
Image Data ◽  
Data Sets ◽  
Error Vector Magnitude ◽  
Noise Resistance ◽  
Global Method ◽  
Non Gaussian

This paper presents the analytical of non-Gaussian noise resistance with the aid of the use of bilateral in reverse confidential with the optical flow. In particular, optical flow is the sample of the image’s motion from the consecutive images caused by the object’s movement. It is a 2-D vector where every vector is a displacement vector displaying the motion from the first image to the second. When the noise interferes with the image flow, the approximated performance on the vector in optical flow is poor. We ensure greater appropriate noise resistance by applying bilateral in reverse confidential in optical flow in the experiment by concerning the error vector magnitude (EVM). Many noise resistance models of the global method optical flow are using for comparison in our experiment. And many sequenced image data sets where they are interfered with by several types of non-Gaussian noise are used for experimental analysis.

STATEMENT OF THE PROBLEM ON SYNTHESIS OF OPTIMAL EVALUATION OF SIGNAL PARAMETERS IN NON-GAUSSIAN NOISE

2012 ◽  
Vol 71 (17) ◽  
pp. 1541-1555
Author(s):  
V. A. Baranov ◽  
S. V. Baranov ◽  
A. V. Nozdrachev ◽  
A. A. Rogov
Keyword(s):  
Gaussian Noise ◽  
Signal Parameters ◽  
Non Gaussian ◽  
Optimal Evaluation
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