Abstract
An algorithm is presented for removal of Salt & pepper noise. Proposed algorithm uses two phased approach where noise is first detected and then removed using window sizes extending up to 7 × 7. Window size changes depending upon noise density. In any processing window, we have some pre-processed pixels and some unprocessed pixels. If a pixel under consideration is a noise pixel then we consider all processed and unprocessed pixels for noise pixel replacement, if we find one or more noise-free pixels in window then we replace median of these pixels with corrupted pixel. If we do not find any original pixel in window then we increase window size and repeat retrospective process. The proposed algorithm shows improved results as compared to existing methods. Proposed algorithm is tested and compared for Structural Similarity (SSIM) and Peak-Signal-to-Noise Ratio (PSNR) with existing methods.
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References
Chen F, Huang M, Ma Z, Li Y, Huang Q (2020) An iterative weighted-mean filter for removal of high-density salt-and-pepper noise. Symmetry 12(12)
Cheng FC, Shie MC, Ruan SJ, Hsieh MH (2013) Fast and efficient median filter for removing 1–99% levels of salt-and-pepper, Engineering Applications of Artificial Intelligence, 1333–1338
Chou TC, Lu CT (2012) Denoising of salt-and-pepper noise corrupted image using modified directional-weighted-median filter. Pattern Recogn Lett 33:1287–1295
Ebenezer D, Srinivasan KS (2007) A new fast and efficient decision-based algorithm for removal of high-density impulse noises. IEEE Signal Processing Letters 14:189–192
Erkan U, Gokrem L, Enginoglu S (2018) Different applied median fillter in salt-and-pepper noise. Int J Comput Electr Eng 70:1–10
Erkan U, Gokrem L, Enginoglu S (2019) Adaptive right median filter for salt-and-pepper noise removal. International Journal of Engineering Research and Development, 542–550
Hwang H, Haddad RA (1995) Adaptive median filters: new algorithms and results. IEEE Trans Image Process 4:499–502
Imran BM, Benazir TM (2013) Removal of high and low density impulse noise from digital images using non linear filter. International Conference on Signal Processing, Image Processing and Pattern Recognition
Javier MM, Galván CG, López RL, Debayle J (2021) On the properties of some adaptive morphological filters for salt and pepper noise removal. Image Analysis and Stereology, International Society for Stereology, 29
Karthik B, Krishna Kumar T, Vijayaragavan SP, Sriram M (2021) Removal of high density salt and pepper noise in color image through modified cascaded filter. J Ambient Intell Human Comput 12:3901–3908
Ma T, Chen KK, Chen H (1999) Tri-state median filter for image denoising. IEEE Transactions on Image Processing, 1834–1838
Revathy K, Madhu RT, Nair S (2008) Removal of Salt-and Pepper Noise in Images: A New Decision-Based Algorithm. Proceedings of the International MultiConference of Engineers and Computer Scientists IMECS I:19–21
Satti P, Sharma N, Garg B (2020) Min-max average pooling based filter for impulse noise removal. IEEE Signal Processing Letters 27:1475–1479
Sheebha SP, Adhinarayanan VS (2012) A Modified algorithm for Removal of Salt and Pepper Noise in Color Images, in International Conference on Intelligent Systems Modelling and Simulation, 356–367
Turkmen I (2013) A new method to remove random-valued impulse noise in images. International Journal of Electronics and Communications (AEÜ), 771–779
Umbaugh S (2005) Computer imaging: digital image analysis and processing: Taylor & Fransis
Veerakumar T, Subramanyam AN, PremChand CH, Esakkirajan S (2011) Removal of high density salt and pepper noise through modified decision based Unsymmetric trimmed median filter. IEEE Signal Processing Letters 18:287–290
Wang Z, Wang DZ (2013) A novel decision-based algorithm for removal of highly corrupted images. Chinese Intelligent Automation Conference, Heidelberg, 367–375
Wang Z, Zhang D (1999) Progressive switching median filter for the removal of impulse noise from highly corrupted images. IEEE Transactions on Circuits and Systems—II: Analog and Digital Signal Processing 46:78–80
Xu YQ, Dong SF (2007) A new directional weighted median filter for removal of random-valued impulse noise. IEEE Signal Processing Letters, 31–34
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Aslam, N., Ehsan, M.K., Rehman, Z.U. et al. A modified form of different applied median filter for removal of salt & pepper noise. Multimed Tools Appl 82, 7479–7490 (2023). https://doi.org/10.1007/s11042-022-13289-x
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DOI: https://doi.org/10.1007/s11042-022-13289-x