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Speckle Noise Filtering Based on Signal Subspace Technique

Yahya, Norashikin and Kamel, Nidal S. and Malik, Aamir S. (2012) Speckle Noise Filtering Based on Signal Subspace Technique. In: International Conference on Computational Intelligence and Cybernetics (CYBERNETICSCOM 2012, 12th - 14th July 2012, Bali, Indonesia.

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Abstract

In this paper, a subspace-based technique for speckle noise reduction in images is proposed. The method is based on a linear model obtained by minimizing the energy of image distortion while keeping the energy of the residual noise in each spectral component below some given threshold. Image enhancement is achieved by removing the noise subspace and estimating the clean signal from the remaining signal subspace. The performance of the proposed approach is tested with simulated images and real SAR images, and compared with Lee and homomorphic anisotropic diffusion filters. The results indicate that the proposed technique increases the signal-to-noise ratio (SNR) by 3.6 dB to 5.7 dB over the noisy image. In addition, the proposed SDC algorithm is better at preserving the fine texture and introduces less blurring effect into the denoised image.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
ID Code:8088
Deposited By: Ms Norashikin Yahya
Deposited On:12 Sep 2012 01:13
Last Modified:19 Jan 2017 08:21

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