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The corrupted pixel is replaced by weighted mean value of the current processing window.
In proposed algorithm, the window size is varied depending upon the non-noisy content of the current processing window.
The window size is varied adaptively depending upon the non-noisy content of the current processing window.
These weights or uncorrupted pixel of the current processing window has a strong influence on the new interpolated pixel.
In the training stages, we adopted the training data of the current processing expression as positive sample data, and data from other expressions as negative data.
In a current processing window, if the uncorrupted pixels are less than three, then the size of the current processing window increases as shown in Fig. 1.
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Wireless sensor network has high real-time requirements for data analysis, but in practical application, many deployment wireless sensor networks will lead to the current processing of sensor data [5, 6].
Without loss of generality, let the current processing section be the j th section of the image, and create a polynomial of degree r – 1 as follows: f j x = a 0 + a 1 x + a 2 x 2 + … + a r − 1 x r − 1 mod 257.
The size of the window increases depending upon the number of noisy pixel in the current processing window as shown in Fig. 1.
They are number of uncorrupted pixel in the current processing window "n" and the power parameter "p".
Let K be the number of uncorrupted pixels in the current processing window as shown in Fig. 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com