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Implement the following adaptive filter, similar to the one discussed in class as f(x, y) = g(x,y)--|&(x, y) _ mL g(x, y) input image Noise

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Implement the following adaptive filter, similar to the one discussed in class as f(x, y) = g(x,y)--|&(x, y) _ mL g(x, y) input image Noise variance, you can specify in MATLAB mi Local mean within a window, ie. 3x3 or 5x35 Local variance within a window, ie, 3 3 or 5 5 Your MATLAB file should have as one of the input variables the noise variance. Show pictures before and after filters under different noise conditions. Ten Bonus point if used in color images Implement the following adaptive filter, similar to the one discussed in class as f(x, y) = g(x,y)--|&(x, y) _ mL g(x, y) input image Noise variance, you can specify in MATLAB mi Local mean within a window, ie. 3x3 or 5x35 Local variance within a window, ie, 3 3 or 5 5 Your MATLAB file should have as one of the input variables the noise variance. Show pictures before and after filters under different noise conditions. Ten Bonus point if used in color images

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