Efficient Technique for Removal of White and Mixed Noises in Gray Scale Images

16 Pages Posted: 7 Sep 2019

See all articles by Satish Kumar Satti

Satish Kumar Satti

National Institute of Technology (NIT), Silchar

Dr. Suganya Devi K

National Institute of Technology (NIT), Silchar

R. Vishnu Murthy

BVC College of Engineering

Dr. P Srinivasan

National Institute of Technology (NIT), Silchar

Date Written: September 3, 2019

Abstract

Images are often affected by different kinds of noise while acquiring, storing and transmitting it. Even the datasets gathered by the various image acquiring devices would be contaminated by noise. Hence, there is a need for noise reduction in the image, often called Image De-noising and thereby it becomes the significant concerns and fundamental step in the area of image processing. During image de-noising, the big challenge before the researchers is removing noise from the original image in such a way that most significant properties like edges, lines, etc., of the image should be preserved. There were various published algorithms and techniques to de-noise the image and every single approach has its own limitations, benefits, and assumptions. This paper reviews the noise models and presents a comparative analysis of various de-noising filters that involve in producing a high-quality image. The metrics like PSNR (Peak Signal to Noise Ratio), Entropy, SSIM (Structured Similarity Index), MSE (Mean Squared Error), FSIM (Feature Similarity Index), and EPI (Edge Preserving Index) are considered as image quality assessment metrics.

Keywords: De-noising, Edge preserving filtering, Spatial Domain Filters, Transform Domain Filters, Non Local Means, DnCNN, Gaussian noise, Mixed Noise, PSNR, MSE, EPI, FSIM, SSIM

Suggested Citation

Satti, Satish Kumar and K, Dr. Suganya Devi and Murthy, R. Vishnu and Srinivasan, Dr. P, Efficient Technique for Removal of White and Mixed Noises in Gray Scale Images (September 3, 2019). International Journal for Innovative Engineering & Management Research, Vol. 08, Issue 09, Sept. 2019 , Available at SSRN: https://ssrn.com/abstract=3447018

Satish Kumar Satti

National Institute of Technology (NIT), Silchar ( email )

India

Dr. Suganya Devi K (Contact Author)

National Institute of Technology (NIT), Silchar ( email )

Research Scholar
Department of Mechanical Engineering
Silchar, IN Assam 788010
India

R. Vishnu Murthy

BVC College of Engineering

United States

Dr. P Srinivasan

National Institute of Technology (NIT), Silchar ( email )

Research Scholar
Department of Mechanical Engineering
Silchar, IN Assam 788010
India

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