Edge preserving adaptive anisotropic diffusion filter approach for the suppression of impulse noise in images |
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| Institution: | 1. Department of Electronics and Communication Engineering, PSG College of Technology, Peelamedu, Coimbatore 641004, India;2. Department of Instrumentation and Control Systems Engineering, PSG College of Technology, Peelamedu, Coimbatore 641004, India;3. Department of Electrical and Electronics Engineering, PSG College of Technology, Peelamedu, Coimbatore 641004, India;1. Institute INAOE, Puebla, Mexico;2. National Polytechnic Institute, Mexico, DF, Mexico;1. School of Computer Science and Engineering, Southeast University, Nanjing 211189, China;2. College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China;1. College of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China;2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China |
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| Abstract: | This paper proposes a new anisotropic diffusion approach to remove the impulse noise and retain the fine details. The proposed approach contains two stages, the first stage detects the impulse noise, and the second stage removes the noisy pixel and retains the fine details of the original image. The Laplacian operator is used to fine-tune the image quality of the restored image in the anisotropic diffusion filter. The proposed approach is tested with PSNR, IEF, correlation factor, and NSER for different test images and the results are compared against existing algorithms. The simulation results show that the proposed approach gives better results than the existing denoising algorithms. |
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| Keywords: | Impulse noise Diffusion filtering Laplacian operator Edge preservation Adaptive anisotropic diffusion filter |
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