Absolute Difference Based Progressive Switching Median Filter for Efficient Impulse Noise Removal

Digital images are often corrupted by different noises. These noises can be removed by designing an efficient filter. Based upon the specified operation the pixels are classified. Absolute Difference Based Progressive Switching Median Filter (ADBPSMF) outperforms all other filter for the removal of impulse noise from corrupted images. This filter performs two basic operations for efficient noise removal. The first stage is noise detection and the second is noise filtering. For noise detection, Modified Boundary Discriminative Noise Detection (MBDND) algorithm is used. For noise filtering, Absolute Difference Based Progressive Switching Median Filter (ADBPSMF) is used. The Modified Boundary Discriminative Noise Detection (MBDND) incorporate two modifications after classifying the pixels as follows: (1) Expansion of filtering window. (2) Incorporating spatial and intensity information. By introducing these modifications into the algorithm, it is found that there is increase in the performance and the quality of image has improved. Results are compared with other median filters like Boundary Discriminative Noise Detection Filter (BDND), Tri State Median Filter (TMF), Center Weighted Median Filter (CWMF), Progressive Switching Median Filter (PSMF), Adaptive Threshold Median Filter (ATMF) and it is found that ADBPSMF performs well even at high noise density ( 95%). Keywords— Absolute Difference Based Progressive Switching Median Filter (ADBPSMF); Adaptive Threshold Median Filter (ATMF) ;Boundary Discriminative Noise Detection Filter (BDND); Center Weighted Median Filter (CWMF; Modified Boundary Discriminative Noise Detection (MBDND); Progressive Switching Median Filter (PSMF); Tri State Median Filter (TMF);