The amplitude of nuclear magnetic resonance (NMR) longing signal general is very small while the signal to noise ratio (SNR) is also very low, so de-noising NMR signal before T2 spectrum inversion is necessary and important. In this paper, an improved de-noising algorithm based on wavelet transform is put forward. The main idea of this improved algorithm is that NMR signal is divided to several...

This paper presents a robust method for segmenting images based on the motion of different scene objects. The presented algorithm combines a robust estimator named Selective Statistical Estimator (SSE) with a median filtering technique to enforce the spatial continuity into a robust estimator. The algorithm is tested on a number of real image sequences contain multiple moving objects. The propo...

Abstract As an important part of smart city construction, traffic image denoising has been studied widely. Image technique can enhance the performance segmentation and recognition model improve accuracy results. However, due to different types noise degree pollution, traditional methods generally have some problems, such as blurred edges details, loss information. This paper presents method bas...

Adaptive median filter has been an efficient algorithm for salt and pepper noise removal. But, if the noise percentage are very high, adaptive median filter may still remain noise regions in result image. So a Particle swarm optimization based novel and modified adaptive median filter (PSOMF) is proposed. The Proposed filter works in two stages: Noise detection stage and noise filtering stage. ...

Face detection in digital photos aims to get the face area photo. Problems often occur when detecting faces, namely there is a lot of noise so that it affects process. Therefore, this study apply median filtering method improve by reducing be tested. The advantage using filter keep edges smooth while which image quality. ability measured parameters Mean Square Error (MSE) and Peak Noise Signal ...

A robust and sensitive word boundary decision algorithm for automatic speech recognition (ASR) system is proposed. The algorithm uses a time-frequency feature to improve both robustness and sensitivity. The time-frequency features are passed through a bank of moving average filters for temporary decision of word boundary in each band. The decision results of each band are then passed through a ...

This paper proposes a fast and effective image interpolation algorithm using median filter. The interpolation algorithm is composed of two steps. First, a non-linear iterative procedure is utilized to interpolate the pixel whose direction can be easily determined by local information. Second, according to the introduced assumption that image interpolation can be regarded as a local image filter...

This paper is concerned with amoeba median filtering, a structure-adaptive morphological image filter. It has been introduced by Lerallut et al. in a discrete formulation. Experimental evidence shows that iterated amoeba median filtering leads to segmentation-like results that are similar to those obtained by self-snakes, an image filter based on a partial differential equation. We investigate ...