Research of Improved Adaptive Median Filter Algorithm
This paper proposes an improved adaptive median filter algorithm for highly corrupted images with salt and pepper noise. First of all, the improved adaptive median filter makes full use of the relationship between the gray value of the current pixel and the gray values of the neighborhood pixels. It calculates the corresponding threshold by adaptive processing. Second, all the pixels are classified into signal and noise pixels using the relationship of the difference between maximum and minimum values of the pixels and threshold. Finally, it deals with the noise and signal point using different methods. Experimental results show that the proposed algorithm has better performance for capabilities of noise removal, and preserves the image edge detail information, especially effective for the cases when the images are highly corrupted.