GDL

Journal from gdlhub / 2020-04-07 10:37:48
Oleh : Prabhishek Singh, Raj Shree, King Saud University
Dibuat : 2020-01-06, dengan 1 file

Keyword : Image despeckling, Wavelet transform, Anisotropic diffusion, Method noise
Url : http://www.sciencedirect.com/science/article/pii/S1319157817301106
Sumber pengambilan dokumen : Web

In synthetic aperture radar (SAR) images, degradation due to multiplicative speckle noise and detail blurring is one of the common problem. This problem is solved by despeckling method. The main objective of image despeckling is to eliminate the speckle noise and preserve the important details of SAR images such as texture, edges, structures and corners. Usually SAR images are high dimensional images and preserving the edge and corner components is one major issue. Anisotropic diffusion also called Perona-Malik diffusion is used to reduce noise without disturbing the significant parts of the image. An homomorphic scheme is proposed using anisotropic diffusion in db2-type wavelet transform. Linear and non-linear filters are used on the approximate part of the image to remove blurring. Method noise thresholding is used to restore the unfiltered part of the despeckled image. The proposed method is applied and tested on correlated speckle noise as well as uncorrelated speckle noise on the real dataset of SAR images. The performance of the proposed method is evaluated by its visual quality and by using other metrics such as PSNR, SSIM, UIQI and RMSE. The performance and computational time are calculated and compared with standard filters and methods. The critical analysis of the result shows that proposed method gives the brilliant outcome in terms of structure, edge preservation and noise suppression. The proposed method has the ability to be used in practical applications.

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