نتایج جستجو برای: despeckling
تعداد نتایج: 264 فیلتر نتایج به سال:
<p style='text-indent:20px;'>For the characteristics of degraded images with multiplicative noise, gray level indicators for constructing adaptive total variation are proposed. Based on new regularization term, we propose convex variational model. Then, considering existence, uniqueness and comparison principle minimizer functional. The finite difference method rescaling technique primal-...
Images are a crucial part of everyone’s life in this modern world. The increase in the number of these has led to a need of better results like better quality, better diagnosis of medical problems etc. Reducing noise from the images is a challenge for the researchers in digital image processing. Several approaches are there for noise reduction. Generally speckle noise is commonly found in the s...
Abstract It is difficult for a convolutional neural network (CNN) to capture the detailed features of synthetic aperture radar (SAR) images when increasing depth. To sufficient information reconstructing image details, authors propose multidirectional and multiscale (MMCNN) in which wavelet subband input into each independent subnetwork be trained. Each has few convolution layers loss function....
Segmentation of an image is a process of finding any blobs or determining regions of interest in a certain context. The context may be simple, such as graylevel only, or more complex such as graylevel, closeness and on the same side of an edge. Before any segmentation is done, processes of contrast stretching, histogram equalization, despeckling and light smoothing or other noise removal can be...
In this paper, a Synthetic Aperture Radar (SAR) image despeckling technique, based on lapped orthogonal transform (LOT) domain dual local Wiener filtering framework, is proposed. A logarithmic transformation is employed to convert the speckle contribution into additive noise. It is demonstrated that the local distribution of dyadic rearranged LOT coefficients of logarithmically transformed SAR ...
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