In the previous studies of heart sounds, the calculation model of small waveform is often used, and new waveform graph is formed through the decomposition and restructuring of small waveform so as to remove the noise ...In the previous studies of heart sounds, the calculation model of small waveform is often used, and new waveform graph is formed through the decomposition and restructuring of small waveform so as to remove the noise from the new waveform. There are a lot of shortcomings in the use of such a method. The features of new waveform are difficult to be controlled, and thus the noise generated by the wave and the interference of wave will be disturbed by the filter to certain degree. In this paper, the integrated faltering algorithm is introduced, and a wave can be used in the studied use of small waveform, and also the high-order algorithm in mathematics is used, so that the frequency is controlled in a certain range, the frequency of heart sounds to be interfered is effectively reduced, and also the harmonic harm generated by the waveform is considered. After the signal sources are protected with some technologies, the effect of filtering and denoising is eventually achieved.展开更多
The ultimate goal of image denoising from video is to improve the given image,which can reduce noise interference to ensure image quality.Through denoising technology,image quality can have effectively optimized,signa...The ultimate goal of image denoising from video is to improve the given image,which can reduce noise interference to ensure image quality.Through denoising technology,image quality can have effectively optimized,signal-to-noise ratio can have increased,and the original mage information can have better reflected.As an important preprocessing method,people have made extensive research on image denoising algorithm.Video denoising needs to take into account the various level of noise.Therefore,the estimation of noise parameters is particularly important.This paper presents a noise estimation method based on variance stability transformation,which estimates the parameters of variance stability transformation by minimizing the noise distribution peak,and improves the parameter accuracy of mixed peak estimation by comparing and analyzing the changes of parameters.The experimental results show that the new algorithm of noise estimation has achieved good effects,which are making the field of video denoising more extensive.展开更多
文摘In the previous studies of heart sounds, the calculation model of small waveform is often used, and new waveform graph is formed through the decomposition and restructuring of small waveform so as to remove the noise from the new waveform. There are a lot of shortcomings in the use of such a method. The features of new waveform are difficult to be controlled, and thus the noise generated by the wave and the interference of wave will be disturbed by the filter to certain degree. In this paper, the integrated faltering algorithm is introduced, and a wave can be used in the studied use of small waveform, and also the high-order algorithm in mathematics is used, so that the frequency is controlled in a certain range, the frequency of heart sounds to be interfered is effectively reduced, and also the harmonic harm generated by the waveform is considered. After the signal sources are protected with some technologies, the effect of filtering and denoising is eventually achieved.
基金the National Natural Science Foundation of China(61772386,U1764262,41671441)National Key R&D Program of China(2017YFB1302401)+2 种基金the Plan Project of Guangdong Provincial Science and Technology(2015B010131007)Teaching research project of Hubei University of Science and Technology(2018-XB-023)Student Innovation Project(S201910927028).
文摘The ultimate goal of image denoising from video is to improve the given image,which can reduce noise interference to ensure image quality.Through denoising technology,image quality can have effectively optimized,signal-to-noise ratio can have increased,and the original mage information can have better reflected.As an important preprocessing method,people have made extensive research on image denoising algorithm.Video denoising needs to take into account the various level of noise.Therefore,the estimation of noise parameters is particularly important.This paper presents a noise estimation method based on variance stability transformation,which estimates the parameters of variance stability transformation by minimizing the noise distribution peak,and improves the parameter accuracy of mixed peak estimation by comparing and analyzing the changes of parameters.The experimental results show that the new algorithm of noise estimation has achieved good effects,which are making the field of video denoising more extensive.
