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Adaptive Median filtering of Still Images

Adaptive Median filtering of Still Images. Arjun Arunachalam Shyam Bharat Department of Electrical Engineering. Introduction. Removes Impulse noise and Reduces Distortion along the boundaries Window size is variable to improve efficiency Removes Salt and Pepper noise

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Adaptive Median filtering of Still Images

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  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.

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