Image impulse noise suppression method based on two-stage interpolation
An impulse noise and image technology, applied in the field of digital image impulse noise suppression, can solve the problems of decreased precision and accuracy, unable to restore clear image signals, etc., and achieve the effect of improving precision, high-precision restoration effect, and improving accuracy.
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[0025] refer to figure 1 and figure 2 , for a noisy image N_im of size M×N, denoising is performed as follows:
[0026] Step 1, use histogram analysis to perform noise detection on the impulsive noise image N_im to be processed.
[0027] (1.1) Find the image histogram of N_im;
[0028] (1.2) Take the inflection points at both ends of the dynamic interval of the image gray value of the histogram envelope function as the threshold T max and T min ;
[0029] (1.3) For each pixel N_im(p, q) in the image to be processed, if the gray value of N_im(p, q) is in the interval [T min ,T max ], N_im(p, q) is considered to be a pixel not polluted by noise, otherwise, if N_im(p, q)>T max or N_im(p,q)min Then N_im(p, q) is considered to be a pixel polluted by impulse noise, where (p, q) is the pixel coordinate of the full-resolution image, p=1, 2...M, q=1, 2...N.
[0030] Step 2. Set the gray value of the noise-contaminated pixel in the image to be processed to zero to obtain the re...
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