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De noising of Synthetic Aperture Radar (SAR) images has gained a lot of attention lately. Many researchers have proposed different techniques to de noise SAR images among which non local approaches provided better results. Other techniques like graph cut method and compressive sensing method provided significant improvement in parameters used for enhancement of a SAR image. Compressive sensing requires...
The paper briefly elaborates the basic principle and method of wavelet and wavelet packet analysis, and on this basic introduces the general method steps of making a denoising for signal by using of wavelet packet method. The designed computer simulation is made, and for an EEG test signal including random noising, the effects of wavelet and wavelet packet de-noising are compared by waveform and specific...
The terrorist incidents in recent years have promoted the computed tomography(CT) technologies for liquid explosives detection in civil aviation. The motivation of X-ray CT application for liquid explosive detection is to identify and classify liquids filled in bottles without opening. In the liquid computed tomography system for security inspection, because of the presence of all kinds of noises...
Weighted Fuzzy C-Mean clustering algorithm by one-dimensional histogram can classify accurately pixels of coal flotation froth images into three kinds such as bubble vertex, the bubble surface and the background to increase the contrast of bubble edge and background, accurately positioning the bubble region for its fast convergence speed, real-time characteristics. After de-noised based on morphological...
A method based on spatial correlation filtering and stationary wavelet transform is proposed to eliminate the noise in ECG signal. The spatial correlation filtering is applied to shrink the wavelet coefficients, and the stationary wavelet transform is used to decompose the noisy signal. The experiment shows that the algorithm is good for noise reduction of ECG signal.
The threshold de-noising method based on the wavelet transform is an effective approach to reduce the white noise of the digit signal. Considering the different characters of signal and white noise in the wavelet domain, a novel algorithm to determine the adaptive wavelet threshold is proposed with the use of False Discovery Rate (FDR) step-up-down procedure. Since the wavelet de-noising transform...
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