Removing Salt and Pepper Noise using Modified Decision- Based Approach with Boundary Discrimination
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Abstract
This article proposes a two-stage median filter for the removal of salt and pepper noise. In first stage, to identify the noisy pixels modified approach of BDND algorithm is used, and in second stage, before restoration of noisy pixels once again it is confirmed that whether current pixel is noisy or not using modified decision-based algorithm. Experimentation results show that our proposed algorithm performs better than several existing algorithms in terms of subjective quality of image as well as objective quality. Extensive experimentation shows that our proposed algorithm performs better than Standard Median Filter (MF), Adaptive Median Filter (AMF), Decision-Based Algorithm(DBA) , Modified Decision-Based Algorithm (MDBA), and Modified Decision-Based Unsymmetric Trimmed Median Filter (MDBUTMF). To compare the performance of our proposed algorithm, several matrices such as Peak Signal to Noise Ratio (PSNR), Mean Absolute Error (MAE), and Structural Similarity Index (SSIM) have been used.
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