Noise Density Research Papers - Academia.edu (original) (raw)
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Color digital images are greatly affected by salt and pepper noise, which negatively affects the clarity of the image and its characteristics. In this paper research we will investigate various filter used to deal with salt and pepper... more
Color digital images are greatly affected by salt and pepper noise, which negatively affects the clarity of the image and its characteristics. In this paper research we will investigate various filter used to deal with salt and pepper noise, a comparison will be done between these filters according to the calculated values of MSE and PSNR. An improvement procedure will be added to each filter to show how this improvement will enhance the values of MSE and PSNR and thus enhance the quality of the denoised image. Various noise densities will be experimented and it will be shown how median filter can be highly recommended to reduce the negative effects of salt and pepper noise.
- by IJCSMC Journal and +1
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- Engineering, Information Technology, Technology, Jordan
Since last 20 years the Noise Removal techniques have drawn a lot of interest of the researchers, there are types of Noise Removal technique. The process of removing noise from the original image is still a demanding problem for... more
Since last 20 years the Noise Removal techniques have drawn a lot of interest of the researchers, there are types of Noise Removal technique. The process of removing noise from the original image is still a demanding problem for researchers. One of the main tasks of image processing is to distinguish between noise and actual contents so that the un-wanted noise from the image signal can be removed. The distortion of an image by noise is very common that gets introduced during its acquisition processing, compression, transmission, and reproduction. Various terms related to Noise Removal are explored in this paper.
Low density impulse noise can be successfully denoised by traditional median filter. But the performance badly deteriorates if the noise density is high. Recently fuzzy-based adaptive median filter has been introduced to handle high... more
Low density impulse noise can be successfully denoised by traditional median filter. But the performance badly deteriorates if the noise density is high. Recently fuzzy-based adaptive median filter has been introduced to handle high density noise in grayscale images. To make it more generalized in this paper we develop an adaptive fuzzy median filter to remove impulse noise from color images. Here we use fuzzy filter with fully adaptive and automatically adjustable threshold value on each component of RGB color space to remove the noise. Finally concatenation is applied to RGB components for restoring the original image. Experimental result confirms the superiority of the proposed method compared to the state-of-the-art median filtering approaches in terms of both denoising and detail preservation.