Image Despeckling Based on LMMSE Wavelet Shrinkage

• Autorzy: Cui Y. , Zhang T. , Yu W.

Warianty tytułu

PL

Poprawa jakości obrazu przy wykorzystaniu falkowej zbieżności LMMSE

• Języki publikacji: EN

Abstrakty

EN

A low complexity method for suppressing speckle in synthetic aperture radar (SAR) images is proposed. This method doesn’t require the logarithmic transform and is an extension of the linear minimum mean square error (LMMSE) filter to the image wavelet representation. A spatially adaptive shrinkage function is obtained and each modified coefficient is decided separately. Simulation results for the simulated SAR images demonstrate the proposed method outperforms some representative SAR despeckling methods.

PL

Zaproponowano metodę poprawy jakości obrazu w radarach typu SAR. Bazuje ona na liniowym minimum średniej kwadratu błędu LMMSE filtru. Wykorzystano adaptacyjną funkcję zbieżną w przestrzeni i wszystkie współczynniki modyfikowane są niezależnie.

Słowa kluczowe

EN

synthetic aperture radar; SAR; speckle; wavelet transform; linear minimum mean square error; LMMSE

PL

radar typu SAR; jakość obrazu

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 7b
• Strony: 269--272
• Opis fizyczny: Bibliogr. 9 poz., il., tab.

Twórcy

autor

Cui Y.

• College of Electromechanical and Information Engineering, Dalian Nationalities University, Dalian, Liaoning Province, China

autor

Zhang T.

• College of Electromechanical and Information Engineering, Dalian Nationalities University, Dalian, Liaoning Province, China

autor

Yu W.

• College of Electromechanical and Information Engineering, Dalian Nationalities University, Dalian, Liaoning Province, China

Bibliografia

• [1] Parrilli S., Poderico M., Angelino C.V. and Verdoliva L., A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage, IEEE Transactions on Geoscience and Remote Sensing, 50 (2012), 606-616
• [2] Wang H.ZH., Sar image denoising based on dual tree complex wavelet transform, Communications in Computer and Information Science, 159 CCIS (2011), 430-435
• [3] Xie H., Pierce L.E., Ulaby F.T., SAR speckle reduction using wavelet denoising and Markov random field modeling, IEEE Transactions on Geoscience and Remote Sensing, 40 (2002), 2196-2212
• [4] Chang S.G., Yu B., Vetterli M., Adaptive wavelet thresholding for image denoising and compression, IEEE Transactions on Image Processing, 9 (2000), 1532-1546
• [5] Xie H., Pierce L.E., Ulaby F.T., Despeckling SAR images using a low-complexity wavelet denoising process, Proceedings of International Geoscience and Remote Sensing Symposium, 1 (2002), 321-324
• [6] Foucher S., Bénié G.B., Boucher J.M., Multiscale MAP filtering of SAR images, IEEE Transactions on Image Processing, 10 (2001), 49-60
• [7] Argenti F., Alparone L., Speckle removal from SAR images in the undecimated wavelet domain, IEEE Transactions on Geoscience and Remote Sensing, 40 (2002), 2363-2374
• [8] Dai M., Peng C., Chan A.K., Loguinov D., Bayesian wavelet shrinkage with edge detection for SAR image despeckling, IEEE Transactions on Geoscience and Remote Sensing, 42 (2004), 1642-1648
• [9] Kuan D.T., Sawchuk A.A., Strand T.C., Chavel P., Adaptive restoration of images with speckle, IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(1985), 165-177