Open Access Open Access  Restricted Access Subscription Access

Survey on Non Linear Noise Removal Techniques for Salt and Pepper Noise in Digital Images


Affiliations
1 Department of CSE, GZS-PTU Campus, Bathinda, Punjab, India
 

The main cause of the image quality degradation is noise. Noise makes it difficult for the observer to discriminate the fine details of the image. There are various types of noises which can corrupt the image. Noise can appear on the images due to faulty memory locations, during transmission, during image acquisition, due to timing errors in the digitization process etc. Image denoising becomes the necessity to enhance the image quality without any loss of image information. The numerous researchers have presented various techniques to remove salt and pepper noise from digital images. A Survey of various such techniques is presented in this paper.

Keywords

Impulse Noise, Salt and Pepper Noise, Non Linear Filters, Image Denoising, PSNR, IEF and MSE.
User
Notifications
Font Size

Abstract Views: 131

PDF Views: 2




  • Survey on Non Linear Noise Removal Techniques for Salt and Pepper Noise in Digital Images

Abstract Views: 131  |  PDF Views: 2

Authors

Jitender Kumar
Department of CSE, GZS-PTU Campus, Bathinda, Punjab, India
Abhilasha
Department of CSE, GZS-PTU Campus, Bathinda, Punjab, India

Abstract


The main cause of the image quality degradation is noise. Noise makes it difficult for the observer to discriminate the fine details of the image. There are various types of noises which can corrupt the image. Noise can appear on the images due to faulty memory locations, during transmission, during image acquisition, due to timing errors in the digitization process etc. Image denoising becomes the necessity to enhance the image quality without any loss of image information. The numerous researchers have presented various techniques to remove salt and pepper noise from digital images. A Survey of various such techniques is presented in this paper.

Keywords


Impulse Noise, Salt and Pepper Noise, Non Linear Filters, Image Denoising, PSNR, IEF and MSE.