Random valued impulse denoising using adaptive weighted interpolation

An adaptive weighted interpolation technique with edge sensing and adaptive window size is proposed for restoration of images that are highly corrupted by random valued impulse noise. The new technique shows significantly better image quality than Standard Median Filter, Adaptive Median Filter, Decision Based Algorithm, Progressive Switched median Filter, Decision Based Unsymmetric Trimmed Median Filter and modified Decision Based Unsymmetric Trimmed Median Filter. The proposed technique is tested against different images and it gives better Peak Signal-to-Noise Ratio.