Tomographic image correction with noise reduction algorithms

Dual Microphone Noise Reduction Algorithms

Neural Network with Median Filter for Image Noise Reduction

According to recent advances in Digital devices, the problem of image noise reduction becomes more significant than ago. Median filter (MF), as an efficient solution for this problem, has been widely applied in practice. In this paper, to improve the quality of filtered image, using a Neural Network (NN) is proposed. A NN, which is trained in a real time manner, can be estimated the noise densi...

Image Enhancement with Noise Reduction in Spatial Domain

Digital images are mostly corrupted by mixed noise from several sources. It is a challenging problem to remove mixed noise in color images. Generally, some image denoising filters can reduce either additive or impulse noise, but it fails to remove both impulsive noise and additive noise. This paper presents modified bilateral filtering method, which can simultaneously remove both impulsive and ...

Poisson Noise Reduction with Higher-Order Natural Image Prior Model

Poisson denoising is an essential issue for various imaging applications, such as night vision, medical imaging and microscopy. State-of-the-art approaches are clearly dominated by patch-based non-local methods in recent years. In this paper, we aim to propose a local Poisson denoising model with both structure simplicity and good performance. To this end, we consider a variational modeling to ...

Noise Reduction in Image Sequences with Sparse Temporal Sampling

| In this paper, a method for noise reduction in image sequences with sparse temporal sampling is proposed. The method combines motion compensation with an adaptive temporal low-pass lter. Image sequences are mostly temporally non-stationary due to sensor motion, the motion of individual objects in the scene and objects which disappear, (re)appear or chang their orientation. The motion componen...