In this study, alternative application of bilateral filter for image deblurring and enhancement is discovered. The concept of Total variation model is added to BF. Based on analyzing force distribution rules of variance, standard deviation is managed to distinguish degree of degrade. The optimization solution of total variation is gained by tracking minimum change channels and keep maximum edge...

This paper presents an outline for removing noise in digital images. We see that the real time images are get more corrupted while acquisition, processing and transmission. As we deal 98% of our daily work on real time application data. So to suppress noise and elimination of noise from real time images is a research area for the developers, that how to predict noise and to remove that one nois...

Solid state nuclear track detection technology is an important based on the measurement of density and geometric parameters, but manual difficult to ensure accuracy efficiency. Aiming at uneven brightness, low contrast noise pollution images, this paper proposes a method acquisition, brightness correction, de-noising filter, target segmentation, boundary extraction, recognition solid image, fin...

This paper has investigated a novel method of using vehicle dynamic information in de-noising raw INS sensor noises. Vehicle dynamics can constitute additional observation information to be used for improving the integration performance. Since vehicle dynamic model has a low pass filter characteristic, passing the raw INS sensor measurements through it would effectively reduce the high frequenc...

In this paper, we design an Attention Focus Kalman Filter (AFKF) a framework that offers interaction capabilities by constructing an eyemovement language, provides real-time perceptual compression through Human Visual System (HVS) modeling, and improves system’s reliability. These goals are achieved by an AFKF through identification of basic eyemovement types in real-time, the prediction of a u...

Impulsive noise is one of the imposed defectives degrades the quality of images. Performance of many image processing applications directly depends on the quality of the input image. Hence, it is necessary to de-noise the degraded images without losing their valuable information such as edges. In this paper we propose a method to remove impulsive noise from color images without damaging the ima...

Finding a way to effectively suppress speckle in SAR images has great significance. K-means singular value decomposition (K-SVD) has shown great potential in SAR image de-noising. However, the traditional K-SVD is sensitive to the position and phase of the characteristics in the image, and the de-noised image by K-SVD has lost some detailed information of the original image. In this paper, we p...

Abstract: EEG signals are the versatile tool for detection of various kinds of Brain activities and diseases. But when the EEG data has been recorded for analysis purpose it is contaminated by different noise signals which are caused due to power line interference, electrode movement, base line wander, muscle movement (EMG) etc. and these days the E-health care system introduces in which there ...

In this research, we will work on the development of a new method for the removal of salt & pepper noise by creating a new hybridized filter using existing and/or new noise removal filters. The proposed filter will remove the noise with no or minimum image quality degradation. Salt & pepper noise degrades the quality of the image by hiding the details of objects in the image and also causes dam...

BACKGROUND Common carotid artery (CCA) ultrasound with measurement of intima-media thickness (IMT) is a safe and noninvasive technique for assessing subclinical atherosclerosis and determining cardiovascular risks. Moreover, the pattern of wall thickening in the brachial artery (BA) is rather diffuse compared to the carotid artery and may be a more sensitive indicator of long-term systemic expo...