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In this paper, a multi scale Gaussian edge detector is constructed. According to transfer properties across scales of the wavelet modules of the signal edge and the noise edge, we combine the properties of edges in different scales and propose a multi scale edge fusion algorithm consisting of edge transfer, edge inherit and edge growth. The edge is an important content of obtaining information of...
In order to increase accuracy of the linear array CCD edge detection system, a wavelet-based sub-pixel edge detection method is proposed, the basic process is like this: firstly, according to the step gradient features, automatically calculate the pixel-level border of the CCD image. Then use the wavelet transform algorithm to divide the image's edge location in sub-pixel level, thus detecting the...
In order to reduce the underwater ultrasonic image speckles and to enhance the image characteristics, an anisotropic diffusion model is established based on the wavelet transform in this paper. At the same time, it also provides the steps of the algorithmic architecture and analyzes the key links of the model during its application. Two-check experiments have been done using simulation data and real...
A novel semi-blind defocused image deconvolution technique is proposed, which is based on RBF neural network and iterative Wiener filtering. In this technique, firstly a RBF neural network is trained in wavelet domain to estimate defocus parameter. After obtaining the point spread function (PSF) parameter, iterative Wiener filter is adopted to complete the restoration. We experimentally illustrate...
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