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Multispectral analysis is a promising approach in tissue classification and abnormality detection from Magnetic Resonance (MR) images. But instability in accuracy and reproducibility of the classification results from conventional techniques keeps it far from clinical applications. Recent studies proposed Independent Component Analysis (ICA) as an effective method for source signals separation from...
In order to overcome the lacking of Shift invariance in Contourlet Transform, enable the image fusion to be in accord with human vision properties, Nonsubsampled Contourlet Transform (NSCT) and Pulse Coupled Neural Networks(PCNN) were used jointly in image fusion algorithms. Original images were decomposed to get the coefficients of low frequency sub bands and high frequency sub bands. The coefficients...
A fundamental goal of lossy image compression is to reduce the bit rate, to save time in transmission and save storage of memory of digital images while maintaining an acceptable fidelity or image quality. There usually are two methods to design simple and efficient coding algorithms. One is to modify a simple coding algorithm by keeping its simplicity while improving its efficiency; the other is...
The main problem that watershed image segmentation facing is over segmentation. The paper that combines adaptive threshold decision and watersheds improves the traditional image segmentation technology. Firstly, applying the wavelet transform to get the detail and approximation information. Based on the gradient magnitudes of the approximation image at the coarsest resolution, an adaptive threshold...
Multi-focus image fusion aims at processing and synthesizing information provided by various sensors. In this paper, the application of the shearlet transform in image fusion was discussed. Shearlet is a novel multiscale geometric analysis tool; it provides many advantages in comparison with conventional multiresolution analysis. A novel image fusion algorithm based on shearlet and local energy is...
Image fusion aims at processing and synthesizing information provided by various sensors. Contourlet is a novel multi-scale geometric analysis tool; it provides many advantages in comparison with conventional multi-resolution analysis. This article proposes a novel method to fuse images based on improved contourlet transform. The fusion rules adopted the local energy method, which can preserve more...
We present a blind digital watermarking algorithm using the module arithmetic and odd-even quantization based on Contourlet transform in this paper. After Contourlet transform, original image is decomposed into a series of multiscale, local and directional subimages. Select the low frequency sub-band as the watermarking embedding domain and then make module arithmetic. At the same time, the original...
In order to enhance the practicality of digital watermarking, watermark perceptibility and robustness must be ensured. Taking human visual system characteristics into account fully, a digital watermarking multi-objective optimization based on multi-wavelet method is proposed. It utilizes Sa4 multi-wavelet to embed digital watermark, chooses intermediate frequency in embedding digital watermark adaptively...
The analysis of the electrocardiogram (ECG) is widely used for diagnosing many cardiac diseases. Since most of the clinically useful information in the ECG is found in characteristic wave peaks and boundaries, a significant amount of research effort has been devoted to the development of accurate and robust algorithms for automatic detection of the major ECG characteristic waves (i.e., the QRS complex,...
This paper describes the significance of image fusion by way of the second-generation Curvelet transform. We put forward an ameliorative method, based on Curvelet transform, that demonstrates an advantage. In order to test the availability of the algorithm for the metropolitan area remote sensing image fusion, we compare with other general remote sensing image fusion methods, as well as traditional...
The temporarily fault signals existing in high voltage lines and electric equipments are usually non-linear and non-stationary. Low frequency oscillation characteristic extraction from fault signals plays an important role in online fault monitoring and detection system designing. In this paper we propose a procedure to analyze power system fault signal by employing HTT method. The fault signal is...
Modern seismic exploration produces vast amount of data that may be transferred between computers as well as to and from storage devices. Compression algorithms are then desirable to make seismic data processing more efficient in terms of storage and transmission bandwidth. Most current algorithms being used for floating-point seismic data compression are based on wavelet or LCT (local cosine transform)...
For most coefficients of wavelet image are zero, SPIHT algorithm which divides the list of insignificant pixels(LIS) into type A and type B and carries out classification judgment to each node in the list leads to the time cost increasing to the encoder. This paper introduces a kind of wavelet base(V9/3) with human vision properties and lifting wavelet transform, cancels the classification procedure...
An innovative embedded algorithm based on context model using neighboring coefficients and parent coefficients is proposed, which can implement real-time image processing and can achieve high fidelity. By analyzing the algorithm and implementation, it is found that the wavelet transform and bit-plane prediction have a great perplexity which can not be implemented efficiently. Based on multiple DSP...
This article introduced a kind of method to produce two value sequences by separating the two-dimensional cat mapping sequence, according to the distribution of this two value sequence, establish exclusive corresponding relationships between the two-dimensional cat mapping chaos sequence and the discrete wavelet transformation coefficient matrix. The value of the discrete wavelet transformation coefficient...
This paper presents an improved image compression algorithm to make up a deficiency arising when the embedded zerotree wavelet encoding (EZW) is employed to uniformly scan the low and high frequency coefficients. According to the feature of the wavelet transform's energy distribution, the scalar quantization is used to quantify sub-band coefficients of high frequency in order to reduce the IZ(Isolated...
Dielectric loss angle measurement has the error easily when noise ratio is low for short-term Fourier (STFT) interpolation harmonic analysis, easy to cover up real value. It shares the dielectric loss measurement method based on Wiener filtering of wavelet transform region. Via the excellent time-frequency analysis tools of wavelet transform, we pick-up basal frequency signal. And we calculate dielectric...
This paper proposes a robust and accurate multi-pitch estimation method for multiple voices. This method is based on the spectral analysis of the mixture sound multi-scale product. The multi-scale product (PM) consists of making the product of wavelet transform coefficients. The wavelet used is the quadratic spline function. Simulation results showed that the proposed method can robustly estimate...
The real-time compression of the remote sensing image is one of a problem in urgent need of satellite remote sensing technology, the development of the compression method suitable for real-time remote sensing image has an important theoretical and practical value. In response to this problem, a fast compression method which is fit for remote sensing image is designed based on the features of decomposed...
Edge of image is one of the most fundamental and significant features. Edge detection is always one of the classical studying projects of computer vision and image processing field. It is the first step of image analysis and understanding. The purpose of edge detection is to discover the information about the shapes and the reflectance or transmittance in an image. It is one of the fundamental steps...
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