Images are susceptible to various kinds of noises, which corrupt the pictorial information stored in images. Image de-noising has become an integral part image processing workflow. It is used attenuate noises and accentuate specific within. Machine learning important tool image-de-noising workflow terms its robustness, accuracy, time requirement. This paper explores numerous state-of-the-art ma...

Abstract—Chaotic analysis has been performed on the river flow time series before and after applying the wavelet based de-noising techniques in order to investigate the noise content effects on chaotic nature of flow series. In this study, 38 years of monthly runoff data of three gauging stations were used. Gauging stations were located in Ghar-e-Aghaj river basin, Fars province, Iran. Noise le...

In this work, a model of a corporate network has been developed, simulated and implemented using optimized network engineering tool technology in a simulation environment of 100m x 100m office network topology. We monitored delay traffic, used one dimensional multilevel wavelet de-noising technique to filter the possible cause of the network congestion and used ACF and FFT to validate the resul...

Feature noising is an effective mechanism on reducing the risk of overfitting. To avoid an explosive searching space, existing work typically assumes that all features share a single noise level, which is often cross-validated. In this paper, we present a Bayesian feature noising model that flexibly allows for dimension-specific or group-specific noise levels, and we derive a learning algorithm...

The local adaptive processing of signals and images in a transform domain within a sliding window suggests certain advantages in some signal and image de-noising applications due to incorporating an available a priori information about the signals and noises. However, an optimum transform size is also data dependent and generally is not known in advance. Performing the de-noising with the varyi...

The natural frequency and scanning vibration frequency of C-dynamic scanning system of laser sensors are acquired for film thickness of lithium battery de-noising based on multi-resolution wavelet algorithm. For this reason, fast de-noising based on atomic sequence template library is present. First, under various mode of scanning, best atomic sequence template is built by sparse decomposition....