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In this study, the authors propose a new image representation model that fully exploits the similarity inherent in natural images. The idea is based on an observation of similar patches. For a clean image, when a cluster of similar patches are collected to form the similar patch matrix (SPM), there exists high correlation among columns/rows of the SPM. This implies that, when the column/row vectors...
Image denoising methods have different denoising performance in both spatial and transform domains, and each method has its relative advantages and inherent shortcomings compared with other methods. A very intuitive idea is to find that an effective fusion method that can combine with the advantages of different denoising methods. In this paper, we propose a novel fusion method based on the fractional...
There are some limitation in the traditional denoising method. In the condition of low signal noise ratio, not only cannot greatly improve the signal noise ratio but the position of the signal is blured after the process of filter. Denoising method based on wavelet transform is proposed to solve the problem. The problem of how to choose a quotiety of wavelet transform domain is emphatically discussed...
Most methods of the tradition character reorganization are based on JPEG and the classifier and then matching with the templates. Due to the environmental of plate with large noise plate and interference factors, the accuracy of this method is relatively low. In this paper, based on the analysis of the traditional method of the character recognition, it uses wavelet processing for image pre-processing,...
The advantage of wavelet technology can separate the signal and the noise, thereby enhancing the output the ratio of signal to noise. In the outdoor environment, under the high noise, it proposes one algorithm based on dyadic wavelet to process the signals and noises in images of vehicles through the wavelet transform at different scales and different characteristics, which can adjust its threshold...
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