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Noise removing algorithms of spatial domain and various other domains find much useful in real time noise removal techniques such as medical imaging and satellite imaging applications. The order of noise and performance measures to be analyzed decides the type of denoising algorithm. The intensity based image denoising procedures and image fractal based denoising procedures are providing wider applications...
It is advantageous but difficult to automatically and accurately estimate parameters of lens models from single images, particularly in internet image processing and thermal image processing. As not all objects have straight edges, it is natural that some edges should be straight and some should be curved in undistorted images. Therefore, the key problem is how to find curved lines in original images...
This paper presents a design and implementation of a real-time video denoising on FPGA. The video noise is decomposed into directional subbands by using contourlet transform. Thus, Gaussian noise in video frames can be removed significantly by an adaptive thresholding technique. Besides, to process video in real-time, a hardware design of proposed video denoising is implemented on FPGA. In order to...
Eye detection plays an important role in many Intelligent Human Computer Interaction (IHCI) applications such as eye tracking, eye gaze tracking, drowsiness monitoring etc. However the presence of spectacles makes the eye detection task difficult because of the glint produced by the lens. Earlier approaches on detection of eyes occluded with spectacles have been reported in literature, however with...
QRS detection is a standard procedure in electrocardiogram (ECG) signal classification and analysis. Although there is a large number of methods published, some featuring high accuracy, the problem remains open. This is especially true with respect to high accuracy QRS detection in noisy ECGs such as long-term Holter monitoring during normal daily activity. In this paper a robust real-time QRS detector...
An algorithm of 3D model watermarking which has an effective resistance to the affine transform is designed. The algorithm uses high-capacity gray image as the watermark information, and chooses Nielson norm combining with redundancies of triangle meshes. Experimental results show that the algorithm can effectively resist attacks such as translation, rotation and scaling.
Most of the algorithms for evaluating image scrambling degree depend on the plain image and they cannot achieve blind evaluation. This paper indicates that the ideal scrambled image is similar to the uniform noise in spatial domain, advances a definition of ideal image scrambling which is independent of the plain image and designs a new evaluating index. In frequency domain, the gray relational degree,...
This paper presents a modeling and analysis methodology for the current loop control design for three-phase high power converters with extremely low sampling ratios. It applies the complex transfer function and the double-sided Frequency-Response-Functions to quantitatively characterize the system such as the phase margin, dynamic performance and the noise immunity. Both standard PI control and PI...
A mathematical model of tree rings in the form of an interference pattern is presented. The model allows retrospective reconstruction of continuous radial growth of a tree during the entire vegetation season. The radial dependence of the wood density is considered as a certain oscillation whose phase is a strictly increasing function of radius. The radial growth is defined as a monotonic function...
The Wigner transform well known as the square time-frequency transform from Cohen's class for solving of problem of the ultra-wideband signal detection with presents of additive weakly correlated noise with non-Gaussian distribution was proposed. The general properties, advantages and disadvantages of the Wigner transform were discussed. Using proposed detection algorithm based on the Wigner analysis,...
Lane-mark detection is one of the most important parts in intelligent transportation systems (ITS). In this paper, we propose a lane-mark detection system which can overcome a lot of difficult situations, such as bad weather conditions, shadow effect, or road sign on the road. After the region of interest (ROI) of a road image is determined, we apply the Canny edge detector to investigate boundaries...
With the characteristics that the instantaneous requencies of non-stationary signal can be given by Hilbert-Huang Transform (HHT) method, HHT modem is proposed. Combining with RAKE receivers and Reed-Solomon (RS) code, the HHT underwater acoustic communication system was built. The emulation of HHT underwater acoustic communication system was given through computer simulation. Results from processing...
Narrowband powerline communication has the great potential market application like Auto-Meter-Reading (AMR). This paper focuses on the design and implementation of narrowband powerline communication module with the OFDM technology. Firstly, it introduces the OFDM solution for low voltage powerline communication module design, then it describes the implementation of the sync module, Viterbi code translation...
It is a challenge to match two corresponding points between images captured from two little different views. Particularly, if some regions in the image have similar textures, finding correspondence will become very difficult. Traditional cost functions have not been competent for this work. To tackle this problem, this paper presents a new cost function using segmentation based census to obtain accurate...
In this work we present methods and strategies for robust detection of weak compressional (P) and shear (S) wave arrivals in acoustic data collected in subsurface oilwells especially in noisy environments such as with logging while drilling (LWD) acquisition. First, we propose a novel de-noising method to combat random additive noise and reflections by employing space time shrinkage in the Discrete...
Circle is often used in application of computer vision. It is the most essential and most important task to detect circle in measurement based image. Hough transform is used widely in circle detection. But when lens and circle surface are non-parallel because of objective reason, leading to obtain the actual image is not a standard round, the conduct of this detection algorithm will be extremely difficult,...
In order to overcome the shortcoming of the soft-threshold denosing method in curvelet domain, which may cause edges blurred, a new denoising method based on the edge features of the given image is proposed. In this method, we make full use of the anisotropie advantages of curvelet, extract the detail and edge information from the low-frequency domain and restore it, which can prevent the destruction...
In this paper, we propose a cost effective solution based on low complexity selective mapping (LC-SLM) peak to average power ratio (PAPR) reduction scheme to mitigate the clipping and quantization noise in intensity-modulated direct detection (IM/DD) optical orthogonal frequency division multiplexing (O-OFDM) systems. We analyze the sensitivity performance of the proposed system for different modulation...
Geographical Information System (GIS) represents geographical information in raster as well as vector form. The compilation and management of this spatial data is expensive and time consuming task. With the fast development of Internet and communication technology, it becomes easy to copy or distribute the spatial data. Therefore copyright protection, authenticity, and spatial data source tracing...
This paper addresses an integrating method to be used in segments detection based on Hough Transform (HT) butterflies. The proposed method is employed to detect the edges of butterflies in higher accuracy than the commonly used existing method, and hence improves the performances (the accuracy and robustness) of segment detection.
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