Affiliation:
1. SRM Institute of Science and Technology, India
Abstract
<div>Speckle noise degrades the visual appearance and the quality of a synthetic
aperture radar (SAR) image. The reduction of speckle noise is the first step in
any remote-sensing device. To improve the noisy SAR images, a variety of
adaptive and nonadaptive noise reduction filters were used. In order to
eliminate speckle noise present in SAR images, an adaptive cuckoo search
optimization-based speckle reduction bilateral filter has been designed in this
article. To test the ability to eliminate multiplicative noise, the suggested
filter’s effectiveness was compared to that of several de-speckling approaches.
It has been measured with different assessment metrics such as PSNR, EPI, SSIM,
and ENL. When compared to conventional de-noising filters, the proposed filter
shows promising results for lowering speckle noise and retaining edge
properties. In addition, the PSNR value has increased as compared to the PMD
method and this method has been shown to be efficient in reducing speckle noise
in SAR images.</div>
Subject
Artificial Intelligence,Computer Science Applications,Automotive Engineering,Control and Systems Engineering,General Medicine
Cited by
4 articles.
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