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Both wavelet algorithms and empirical mode decomposition (EMD) signal analysis method have strong power discriminate the signals from the noise, but the precision of denoise is affected by the end errors of EMD, the effect is more serious especially when the signal carries the information of the trend development. Based on the capability of orthogonal wavelet transform in de-noise, trend extract function...
This paper presents a simple method of counting feeder fish automatically using image processing techniques. A video of a school of fish is taken and every frame is processed singly and independently. The first step is to obtain blobs marking the positions of the fish. Several ways of accomplishing this task are discussed. Noise and background objects are filtered from the image of the blobs. Area...
Geophysics' complexity and uncertainty, and interfering with a variety of humanities, which made the gaining first-hand information from the field in the process of data acquisition is often severely disrupted. The solution in the geophysical inversion would be many solutions or distortion, which is the geophysical ill-posed problem. Ill-posed problems could be attributed to the First Class of Operator...
Image usually is corrupted by two or more different types noise simultaneously, the paper proposed a new mixture filter method. The proposed method first classifies the pixels into two classes, one is the pixels which are corrupted by impulse noise and the other is the pixels corrupted by Gauss noise. Then median filter is used for the pixels corrupted by impulse noise and wavelet threshold method...
According to the jacquard technology, we present an enhanced halftoning algorithm for which the filter weights and the quantizer thresholds vary depending on input pixel value. This minimization brings the Fourier spectra of the selected key intensity levels as close as possible to the corresponding "blue noise" spectra. The continuity of the algorithm's behavior across the full range of...
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