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Subspace-based technique for image denoising

机译:基于子空间的图像去噪技术

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摘要

In this paper a new subspace based technique is proposed for removal of additive white noise in images. The method is based on Time-Domain constrained (TDC) estimator in which the residual noise energy is kept below a threshold while minimizing the signal distortion. The denoising technique employed prewhitening method prior to the subspace filter which is proven to give remarkable results. Experiments were carried out on noise-free images corrupted with simulated additive white noise. The results indicated that the proposed methods provide performance better than the compared methods in terms of the correlation coefficient and SSIM index.
机译:本文提出了一种基于子空间的新技术,用于去除图像中的附加白噪声。该方法基于时域约束(TDC)估计器,其中,残留噪声能量保持在阈值以下,同时使信号失真最小。去噪技术在子空间滤波器之前采用了预白化方法,这被证明可以产生显着效果。实验是在无噪声的图像上进行的,该图像被模拟的加性白噪声破坏。结果表明,在相关系数和SSIM指标方面,所提出的方法提供了优于比较方法的性能。

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