Adaptive Median filtering of Still Images

1. Adaptive Median filtering of Still Images Arjun Arunachalam Shyam Bharat Department of Electrical Engineering

2. Introduction • Removes Impulse noise and Reduces Distortion along the boundaries • Window size is variable to improve efficiency • Removes Salt and Pepper noise • Smoothens non-impulsive noise

3. Implementation • Three cases were implemented: • With Salt and Pepper noise alone • With non impulsive noise alone • With both included • Variations in the window size were introduced • Variations in the noise power were introduced

4. Results Salt and Pepper Standard Median output

5. Adaptive median Output

6. With Non-impulsive noise Gaussian Noise Standard Median output

7. Adaptive Median Output

8. With both types of noise Gaussian and impulsive Noise Standard Median output

9. Adaptive Median output

10. Conclusions • The adaptive median filter successfully removes impulsive noise from images. It does a reasonably good job of smoothening images that contain non-impulsive noise. • When both types of noise are present, the algorithm is not as successful in removing impulsive noise and its performance deteriorates. • Overall, the performance is as expected and the successful implementation of the adaptive median filter is presented.