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As a noninvasive technique, electrocardiogram (ECG) plays a significant role in the diagnosis of many cardiac diseases. However, ECG signals are usually corrupted with baseline wander and high-frequency noise. Numerous approaches have been proposed to suppress noise in ECG signals such as finite impulse response (FIR) filter, infinite impulse response (IIR) filter and wavelet method. These methods...
Speckle noise is an inherent nature of ultrasound images, which have negative effect on image interpretation and diagnostic tasks. In this paper, a nonlocal means method using weight refining for ultrasonic speckle reduction is proposed. Based on a signal-dependent speckle model, a novel similarity weight is derived by Bayesian framework. The weight is iteratively refined in a lower dimensional subspace...
In this work, a curvelet based nonlocal means denoising method is proposed. In the proposed method, the curvelet transform is firstly implemented on the noisy image to produce reconstructed images. Then the similarity of two pixels in the noisy image is computed based on these reconstructed images which include complementary image features at relatively high noise levels or both the reconstructed...
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