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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Cuckoo Search Optimization-Based Bilateral Filter for Multiplicative Noise Reduction in Satellite Images


    Additional title:

    Sae Intl. J Cav


    Contributors:


    Publication date :

    2023-08-24




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    One-position inheritance based cuckoo search algorithm

    Wang, Lijin / Zhong, Yiwen | British Library Online Contents | 2015


    Improved Cuckoo Search Algorithm for Spectrum Sensing in Sparse Satellite Cognitive Systems

    Yuan, Wanmai / Yang, Mingchuan / Guo, Qing et al. | IEEE | 2016



    High order stable infinite impulse response filter design using cuckoo search algorithm

    Agrawal, N. / Kumar, A. / Bajaj, V. et al. | British Library Online Contents | 2017


    Filtering multiplicative noise in images using adaptive region-based statistics

    Rangayyan, R. M. / Das, A. | British Library Online Contents | 1998