Single image haze removal has been a challenging problem due to its ill-posed nature. In this paper, we propose simple but powerful color attenuation prior for from single input hazy image. By creating linear model modeling the scene depth of under novel and learning parameters with supervised method, information can be well recovered. With map image, easily estimate transmission restore radiance via atmospheric scattering model, thus effectively remove Experimental results show that...

Respiratory monitoring is widely used in clinical and healthcare practice to detect abnormal cardiopulmonary function during ordinary routine activities. There are several approaches estimate respiratory rate, including accelerometer(s) worn on the torso that capable of sensing inclination changes due breathing. In this article, we present an adaptive band-pass filtering method combined with principal component analysis derive rate from three-dimensional acceleration data, using a body...

In this paper, we propose a simple but powerful prior, color attenuation for haze removal from single input hazy image. By creating linear model modelling the scene depth of image under novel prior and learning parameters by using supervised method, information can be well recovered. With map image, easily remove Experimental results show that proposed approach is highly efficient it outperforms state-of-the-art algorithms in terms dehazing effect as well.

At present, ultrasound is one of the essential tools for noninvasive medical diagnosis. However, speckle noise inherent in images and it cause decreased resolution contrast-to-noise ratio. Low image quality an obstacle effective feature extraction, recognition, analysis, edge detection; also affects interpretation by doctor accuracy computer-assisted diagnostic techniques. Thus, reduction significant critical step pre-processing images. Many techniques have been studied researchers, but to...

With the development of digital multimedia technologies, image matting has gained increasing interests from both academic and industrial communities. The purpose is to precisely extract foreground objects with arbitrary shapes an or a video frame for further editing. It generally known that inherently ill-posed problem because we need output three images out only one input image. In this paper, provide comprehensive survey existing algorithms evaluate their performance. addition blue screen...

Freehand three-dimensional ultrasound imaging is a highly attractive research area because it capable of volumetric visualization and analysis tissues organs. The reconstruction algorithm plays key role to the construction volume data with higher image quality faster speed. However, systematic approach such problem still missing. A new fast marching method (FMM) for using tracked hand-held probe proposed in this paper. Our consists two stages: bin-filling stage hole-filling stage. Each pixel...

Alpha matting refers to the problem of estimating opacity mask foreground in an image. Many recent algorithms solve it with color samples or some local assumptions, causing artifacts when they fail collect appropriate assumptions do not hold. In this paper, we treat alpha as a supervised learning and propose new approach. Given input image trimap (labeling foreground/background pixels), segment unlabeled region into pieces learn relations between pixel features values for these pieces. We...

Segmentation of video with dynamic background is an important research topic in image analysis and computer vision domains. In this paper, we present a novel recursive Bayesian learning-based method for the efficient accurate segmentation background. algorithm, each frame pixel represented as layered normal distributions which correspond to different contents scene. The layers are associated confident term only satisfy given confidence will be updated via estimation. This makes learning...

Abstract Background Motion characteristics of CoP (Centre Pressure, the point application resultant ground reaction force acting on plate) are useful for foot type detection. To date, only few studies have investigated nonlinear velocity and acceleration during stance phase. The aim this study is to investigate whether regularity different among four types (normal foot, pes valgus, hallux valgus cavus); might be classification diagnosis injuries diseases. meet goal, sample entropy, a measure...

In this work, development and evaluation of a three-dimensional (3D) finite element model (FEM) based on the diffusion approximation time-domain (TD) near-infrared fluorescence light transport in biological tissue is presented. This allows both excitation temporal point-spread function (TPSF) data to be generated for heterogeneous scattering absorbing media arbitrary geometry. The TD FEM evaluated via comparisons with analytical Monte Carlo (MC) calculations shown provide quantitative...

Current image matting approaches are often implemented based upon color samples under various local assumptions. In this letter, a novel algorithm is investigated by treating the alpha as regression problem. Specifically, we learn spatially-varying relations between pixel features and values using support vector regression. Via learning-based approach, limitations caused assumptions can be greatly relieved. addition, computed confidence terms in learning phase conveniently integrated with...

A new algorithm for feature and contrast enhancement of mammographic images is proposed in this paper. The approach based on multiscale transform mathematical morphology. First all, the Laplacian Gaussian pyramid applied to decompose mammography into different subband sub-images. In addition, detail or high frequency sub-images are equalized by limited adaptive histogram equalization (CLAHE) low processed Finally, enhanced image reconstructed from coefficients modified at one more levels...

In this paper, we describe a novel and effective single image enhancement algorithm for haze image. As observe that, the contrast intensity of after using dark channel prior approach will unavoidably tend to be lower than those real scene, proposed method histogram specification make an improvement on approach. We large number experiment find if dealing with background area low contrast, result become dark, also general occurs different degree anamorphose. introduce adaptive repair kinds...

In this paper, we propose a novel learning-based approach for single image dehazing. The proposed is mostly inspired by the observation that color of objects fades gradually along with increment scene depth. We regard RGB values pixels within as important feature, and use back propagation neural network to mine internal link between depth from training samples, which consists hazy images their corresponding ground truth map. With trained network, can easily restore information well radiance...

We introduce an improved single image haze removal algorithm, which combines dark channel prior (DCP) and histogram specification.First, the knowledge proposed by Kaiming He is analyzed a conclusion drawn that based on will have tendency to dim indistinct in some specific situations.Especially, when cleaning with large background area low contrast, DCP result appears obvious anamorphose.Next, order improve dehazing of this kind image, we propose approach change contrast intensity after...

Image haze removal has become an important researching direction in computer vision because of the development system and its increasing demand. Images acquired bad weather, such as fog, are seriously degraded by scatting atmosphere, which makes image color gray, reduces contrast make object features difficult to identify. The weather not only lead variation visual effect image, but also disadvantage post processing well inconvenience all kinds instruments rely on optical imaging, satellite...

Image Matting is the key technology in image processing, video editing, and film-making applications. With fast development of modern information technology, matting has gained increasing interests from both academic industrial communities. So what Matting? And, What's Role Segmentation? In this paper, we will try to give a comprehensive constructive answer above questions.

Identifying moving objects in a video sequence is fundamental and critical task surveillance, traffic monitoring, gesture recognition human-machine interface. In this paper, we present novel recursive Kernel Density Estimation based background modeling method. First, local maximum the density functions recursively approximated using mean shift Second, components parameters mixture Gaussian distributions can be selected adaptively via proposed thresholding mechanism, finally converge to...

In a deforming anatomic environment, the motion of an instrument suffers from complex geometrical and dynamic constraints, robot assisted minimally invasive surgery therefore requires more sophisticated skills for surgeons. This paper proposes novel virtual fixture (DVF) to enhance surgical operation accuracy admittance-type medical robotics in environment. A framework DVF on Euclidean Group SE(3) is presented, which unites rotation translation compact form. First, we constructed...

This study addresses the challenge of acquiring digital materials for E-learning software development. By employing finite element modeling and simulation techniques, a substantial collection visual resources, including stress nephograms, was obtained three-point bending experiment. These formed foundation development an program. The successfully implemented in classroom instruction, demonstrating its effectiveness enhancing student understanding engagement. Through mixed methods research...

This paper investigates the effectiveness of using finite element technique (FET) in problem-based learning (PBL) for vocational school students. A model a pressure bar case was established Abaqus software, and colored nephograms animations were used to enhance experience. Teaching experiments, including questionnaire, conducted evaluate FET application. Results showed that majority students agreed or strongly with application improving their understanding experiment, related formulas,...