A novel impulsive noise elimination filter, entitled noise exclusive filter (NEF), which shows a high performance at the restoration of images distorted by impulsive noise, is proposed in this paper. NEF uses chi-square goodness-of-fit test in order to detect the corrupted pixels more accurately. Simulation results show that the proposed filter achieves a superior performance compared with the ...

<p>A modified mixed Gaussian plus impulse image denoising algorithm based on weighted encoding with sparsity and nonlocal self-similarity priors regularization is proposed in this paper. The weights the imposed images are incorporated into a variational framework to treat more complex noise distribution. Such characterized by heavy tails caused which needs be eliminated through proper wei...

RGB-D salient object detection (SOD) demonstrates its superiority on detecting in complex environments due to the additional depth information introduced data. Inevitably, an independent stream is extract features from images, leading extra computation and parameters. This methodology sacrifices model size improve accuracy which may impede practical application of SOD problems. To tackle this d...

Wavelet transformation was applied as a noise elimination method of an amperometric algal biosensor. The drift of the baseline current was clearly removed by using the wavelet transformation. The S/N ratio, calculated by the power spectrum density, is about 3-times larger than that calculated by the current response. The response to a herbicide, atrazine, calculated from the power spectrum d...

This article describes a method for clarifying and sharpening radiographs. The method uses convolution with a computed tomography reconstruction kernel and a noise elimination procedure to control the noise amplification of the convolution. The effect is to flatten global variations and to sharpen and magnify local variations. Examples from industry and medicine are included.

This paper presents an efficient method of quasi-periodic noise detection and filtering. Taking into account that periodic noise leaves peaks in the amplitude spectrum, the proposed approach focuses on their detection and elimination. The detection is performed semiautomatically using a local median whereupon the localized peaks are eliminated by a modified Gaussian notch filter. The proposed a...