This paper presents an efficient image enhancement method by fusion of two different exposure images in low-light condition. We use two degraded images with different exposures: one is a long-exposure image that preserves the brightness but contains blur and the other is a short-exposure image that contains a lot of noise but preserves object boundaries. The weight map used for image fusion wit...

A adaptive Switching median filter for salt and pepper noise removal based on genetic algorithm is presented. Proposed filter consist of two stages, a noise detector stage and a noise filtering stage. Particle swarm optimization seems to be effective for single objective problem. Noise Dictation stage works on it. In contrast to the standard median filter, the proposed algorithm generates the n...

An efficient system that upsamples depth map captured by Microsoft Kinect while jointly reducing the effect of noise is presented. The upsampling is carried by detecting and exploiting the piecewise locally planar structures of the downsampled depth map, based on corresponding high-resolution RGB image. The amount of noise is reduced by accumulating the downsampled data simultaneously. By benef...

This paper presents Maximum A Posteriori (MAP) estimation of the spectral components of clean speech from the observed data noised by the additive background noise having Gaussian or non-Gaussian statistical distribution. In the proposed algorithm MAP estimator for the spectral components of clean signal is derived using Generalized Gaussian Distribution (GGD) function as a priori statistical m...

A method for nonstationary noise robust automatic speech recognition (ASR) is to first estimate the changing noise statistics and second clean up the features prior to recognition accordingly. Here, the first is accomplished by noise tracking in the spectral domain, while the second relies on Bayesian enhancement in the feature domain. In this way we take advantage of our recently proposedmaxim...

background: noise pollution is one of the most harmful ambiance disturbances. it may cause many deficits in ability and activity of persons in the urban and industrial areas. it also may cause many kinds of psychopathies. therefore, it is very important to measure the risk of this pollution in different area. methods: this study was conducted in the department of medical physics and biomedical ...

This paper presents a novel approach for providing depth maps that are temporally consistent. Temporal consistency is attained by noise removal from video. Presented approach was evaluated with use of a simple noise reduction technique and state-of-the-are depth estimation algorithm. Experiments on standard multi-view test video sequences have been performed and yielded both subjective and obje...

We study the dynamical behaviour of the collective field of chaotic systems on small world lattices. Coupled neuronal systems as well as coupled logistic maps are investigated. We observe that significant changes in dynamical properties occur only at a reasonably high strength of nonlocal coupling. Further, spectral features, such as signal-to-noise ratio (SNR), change monotonically with respec...

In many types of 3D cameras, The Time-of-Flight (TOF) cameras have the advantages of simplicity for use and lower price for general public. The TOF cameras can obtain depth maps at video speed. However, the TOF cameras suffer from low resolution and high random noise. In this paper, we propose methods to reduce the random noise in depth maps captured by the TOF cameras. For each point in the no...