Impact of Method Noise on SAR Image Despeckling

Prabhishek Singh and Raj Shree
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Prabhishek Singh: Amity University Uttar Pradesh, Noida, India
Raj Shree: PI (CSTUP), Babasaheb Bhimrao Ambedkar University, Central University, Lucknow, India

International Journal of Information Technology and Web Engineering (IJITWE), 2020, vol. 15, issue 1, 52-63

Abstract: This article introduces the concept, use and implementation of method noise in the field of synthetic aperture radar (SAR) image despeckling. Method noise has the capability to enhance the efficiency and performance of any despeckling algorithm. It is easy, efficient and enhanced way of improving the results. The difference between speckled image and despeckled image contains some residual image information which is due to the inefficiency of the denoising algorithm. This article will compare the results of some standard methods with and without the use of method noise and prove its efficiency and validity. It also shows its best use in different ways of denoising. The results will be compared on the basis of performance metrics like PSNR and SSIM. The concept of method noise is not restricted to only SAR images. It has vast usage and application. It can be used in any denoising procedure such as medical images, optical image etc. but this paper shows the experimental results only on the SAR images.

Date: 2020
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