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An improved color image enhancement algorithm based on MSR was proposed in this paper. The appropriate wavelet bases were selected to decompose the input image into three levels. Then different enhancement algorithms were employed to process the decomposed wavelet coefficients and scale coefficients. For the wavelet coefficients, after the analyzing of each level??s characters, a modified adaptive...
This paper adopted multiscale geometry method, distilled the principal component from the image after Contourlet transform, lowered the dimension of the high frequency subdomains, eliminated the noise by minimum variance cost function. The entire arithmetic without estimate noise, compared to Contourlet hard threshod denoising and wavelet hard threshod denoising, PSNR increased 1 dB, the denoising...
Types and characteristics of information on examination certificates are analyzed in this paper and then the two-dimensional bar code encoding method based on GB18030 character set of information in text kind, and the method for image kind on the basis of compression using zerotree of wavelet transformation is put forward. A flowgraph for the whole procedure is given and an example of examination...
We propose an improved fractal image coding algorithm based on oriented wavelet sub-tree. The algorithm couples the wavelet transform with fractal coding, set the scanning manner according to the orientation of wavelet sub-tree. It could improve the matching precision better. In addition to improving compression performance, the proposed algorithm also couples the zero-tree structure, wipes off large...
Gender classification is one of the most challenging problems in the field of pattern recognition. The pixel-based gray image recognition method is quite sensitive to illumination variation and has high dimensions for computation. PCA-based image feature recognition algorithm can reduce the image dimension, but it is only on the basis of optimal entropy to choose face features which neglects the different...
Some target tracking occasions often requires to tracking a kind of target, such as human face, automobile and so on. A specific target tracking algorithm based on support vector machine (SVM) and AdaBoost is proposed. Moreover, the characteristic data of SVM is a critical factor to success to detecting target. The method selects part of Harr wavelet characters by AdaBoost as input data of SVM training...
This paper provides one damage identification method for stiffness mutation position of tower structure based on dynamic response information truncation. On the basis of obtaining dynamic response information of tower structure under environment excitation, wavelet transform is adopted for structure damage location identification. When there is mutation point in integral stiffness of tower structure,...
Self-similarity is the one of important characteristics of real network traffic. In order to simulate the network traffic accurately, we present a technology of self-similar network traffic generation, and describe it from algorithm and hardware.On algorithm we analyze several typical self-similar traffic models, describe the superiority of multifractal wavelet in detail, and make it our generation...
In this paper, we propose a wavelet lossy image coding algorithm with edge detection and tracking using wavelet difference reduction. Firstly, we obtain the edge map of an obstacle image by SUSAN edge detector. And an edge tracking filtering method is applied to the edge information image and Region of Interest (ROI) is extracted from the original image. Then the coordinates of ROI are mapped to the...
This paper applies wavelet transform (WT) on Orthogonal Frequency Division Multiplexing (OFDM) and single carrier (SC) digital signals twice (WT-T) to extract the transient characteristics of them, and then by using the transient characteristics in WT-T domain, it is easy to identify the two types of signals. The simulations show that the proposed identification algorithms can obtain good performances...
A simple and efficient edge detection algorithm based on wavelet transform and morphology is proposed. Combined with dyadic wavelet transform and image gradient calculation, the smoothing filter operators are introduced. Then to the non-uniform illumination problem, a local thresholding, which determines the edges, can be constructed by the algorithm of maximization of between-class variance (Otsu??s...
The objective of this study was to develop a computerized empty glass bottle inspection method in an attempt to replace manual inspection. The inspection system structure based on machine vision was illustrated in the article. Morphologic methods and wavelet transform were used to extract features of the bottle body and the finish from images. The fuzzy support vector machine neural network was adopted...
In view of this situation that image fusion algorithm of separable wavelet is unable to retain the fusion image edge information effectively, based on the mutual complement of CT/MRI image contents, a fusion algorithm of integration and highlight for the medical image details is proposed. Under the non-separable wavelet decomposed frame, this algorithm uses the fusion rule of the information entropy...
Research into texture synthesis is normally concerned with generation of 2D images of texture. However, real-world surface textures comprise rough surface geometry and various reflectance properties. These surface textures are different from 2D still texture as their images can therefore vary dramatically with illumination directions. This paper presents a simple framework for 3D surface texture synthesis...
This paper presents a new face recognition method based on the analysis of local features. Firstly, we can get the images of magnitude by means of analyzing face images with the Gabor wavelets. Secondly, the magnitude images are divided into blocks, then principle components analysis (PCA) could be directly used to all the blocks to construct the feature space. Finally, all the blocks of images are...
In order to extract bottle boundary and pick out unqualified tube-type bottles which possibly have breaks and irregular shapes, a novel processing measure is taken based on wavelet transformation and mathematical morphology. Industrial bottle image contains noises so that traditional and theoretical image processing algorithms need to be improved. In addition, due to bottle inspection standard is...
Since infrared images reflect the temperature-field distributing of vein??s embranchment of the face, expression recognition from them should focus on changes of thermal distribution on facial muscles and blood vessels, which caused by mood variety. These thermal changes can be regarded as texture features of images. Wavelet transform is a good tool to analyze multi-scale, multi- direction changes...
In order to overcome classical wavelets' shortcoming in image processing problems, people developed many producing systems, which built up wavelet family. In this paper, the notion of AB-multiresolution analysis is generalized,and corresponding theory is developed. For an AB-multiresolution analysis associated with an expanding matrix, we deduce that there exists a singe scaling function in its reducing...
Many practical problems are characterized as decision making with multiple, conflicting and noncommensurable nonlinear objectives and complex criteria. Especially in the practice of purchasing decision making, many quantitative and qualitative factors must be considered, as well as the vagueness and imprecision among them, which makes the decision process more complicated and unstructured. For identifying...
Embedded Image Coding Using Zerotrees of Wavelet Coefficients (EZW) is a common and efficient image encoding algorithm. Many authors have improved it, but they aren??t able to completely reduce redundant search, they have not fully improved the coding speed. So Shapiro advanced zerotree map technique to eliminate redundant search in 1996. A typical example using zerotree map is Mow-Song Ng??s EZW...
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