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Search Results: 1 - 10 of 162 matches for " Multiresolution "
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The Multiresolution Image Format  [PDF]
Titusz Bugya, ákos Halmai
Journal of Geographic Information System (JGIS) , 2013, DOI: 10.4236/jgis.2013.51009
Abstract:

In this paper we present a new method and file format which allows to create, store and manipulate multiresolution raster images. “Classic” raster images are built up by rasters (pixels) where in the same image each raster (pixel) has the same size. Multiresolution raster image (mri) are unlike the “classic” raster images. An mri file is a regular text file, conformed xml 1.0 standard and allows: 1) to store raster based images with different resolution in the same file and in the same time (i.e., allows to contain rasters with different size in the same image); 2) to export easily any part of the image as a separate raster image and to import an image as a part of a raster; 3) to define geographical reference for a raster image and use this image as a raster based GIS model; 4) to perform computations (i.e., image manipulation) on the content of the file. It is an important characteristic of the mri format that mathematical operations could be performed always in the same resolution as the current resolution of the given part of the image. To confirm this statement we present how to perform a convolution on an mri file.

Optimal Scale Selection for DEM Based Slope Segmentation in the Loess Plateau  [PDF]
Mingwei Zhao, Fayuan Li, Guo'an Tang
International Journal of Geosciences (IJG) , 2012, DOI: 10.4236/ijg.2012.31005
Abstract: Optimal scale selection is the key step of the slope segmentation. Taking three geomorphological units in different parts of the loess as test areas and 5 m-resolution DEMs as original test date, this paper employed the changed ROC-LV (Lucian, 2010) in judging the optimal scales in the slope segmentation process. The experiment results showed that this method is effective in determining the optimal scale in the slope segmentation. The results also showed that the slope segmentation of the different geomorphological units require different optimal scales because the landform complexity is varied. The three test areas require the same scale which could distinguish the small gully because all the test areas have many gullies of the same size, however, when come to distinguish the basins, since the complexity of the three areas is different, the test areas require different scales.
A Multiresolution Channel Decomposition for H.264/AVC Unequal Error Protection  [PDF]
Rachid Abbadi, Jamal El Abbadi
Journal of Signal and Information Processing (JSIP) , 2012, DOI: 10.4236/jsip.2012.31001
Abstract: The most commonly used transmission channel in nowadays provides the same level of protection for all the information symbols. As the level of protection should be adequate to the importance of the information set, it is justified to use UEP channels in order to protect information of variable importance. Multiresolution channel decomposition has emerged as a strong concept and when combined with H.264/AVC layered multiresolution source it leads to outstanding results especially for mobile TV applications. Our approach is a double multiresolution scheme with embedded constellation modulations on its baseband channels followed by OFDM time/frequency multiresolution passband modulation. The aim is to protect The NAL units carrying the most valuable information by the coarse constellations into coarse sub-channels, and the NAL units that contain residual data by fined constellations and transposed into the fined OFDM sub-channels. In the multiresolution protection coding, our approach is a multiresolution decomposition of the core convolutional constituent of the PCCC where the NAL units carrying the most valuable information are coded by the rugged coefficient of the multiresolution code and the NAL units that contains residual data are coded by refined less secure coding coefficients.
Nonstationary Wavelets Related to the Walsh Functions  [PDF]
Yuri A. Farkov, Evgeny A. Rodionov
American Journal of Computational Mathematics (AJCM) , 2012, DOI: 10.4236/ajcm.2012.22011
Abstract: Using the Walsh-Fourier transform, we give a construction of compactly supported nonstationary dyadic wavelets on the positive half-line. The masks of these wavelets are the Walsh polynomials defined by finite sets of parameters. Application to compression of fractal functions are also discussed.
A Wavelet Based Method for the Solution of Fredholm Integral Equations  [PDF]
En-Bing Lin, Yousef Al-Jarrah
American Journal of Computational Mathematics (AJCM) , 2012, DOI: 10.4236/ajcm.2012.22015
Abstract: In this article, we use scaling function interpolation method to solve linear Fredholm integral equations, and we prove a convergence theorem for the solution of Fredholm integral equations. We present two examples which have better results than others.
Texture Analysis for Recognition of Satellite Cloud Images Using Orthogonal Polynomial Model
A.SUDHA,V.VAITHIYANATHAN
International Journal of Engineering and Technology , 2013,
Abstract: The main aim of this work is to classify the satellite cloud images with high accuracy and good recognition rate using texture as a feature. This work is based on Orthogonal Polynomial Transformation (OPT) to extort the low level feature like texture. Texture is a central feature especially for classifying homogeneous images. For achieving high accuracy the multi resolution technique is used with rotation invariant characteristics. Multiresolution is achieved in some existing methods with high complexity rate. In the proposed work complexity level is reduced by means of reordering coefficients in the form of sub bands. Then, the global feature is constructed and the optimized result is achieved for classifying the cloud.
Improved Seismic Denoising CURVELET Transform
Renu Awasthi,,Mr. Satya Prakash Singh
International Journal of Electronics and Computer Science Engineering , 2012,
Abstract: This paper addresses the problem of denoising the seismic data through improved curvelet transform. The curvelet transform is a multi-scale directional transform developed as an improvement over wavelet transform.To reduce the noise or to improve the quality of seismic data we have used two parameters i.e. quantitative and qualitative. For quantity we will compare peak signal to noise ratio (PSNR). Higher the PSNR better the quality of the seismic data. For quality we compare visual effect of data. In this paper we proposed a Curvelet Transformation based seismic data denoising, which is combined with wavelet transform and gabor filter in curvelet domain. The simulation results show that the improved curvelet transform can achieve an almost complete data reconstruction and give comparatively high PSNR which cannot be achieved by conventional methods of denoising.
A novel vague set approach for selective contrast enhancement of mammograms using multiresolution  [PDF]
Arpita Das, Mahua Bhattacharya
Journal of Biomedical Science and Engineering (JBiSE) , 2009, DOI: 10.4236/jbise.2009.28083
Abstract: The proposed algorithm introduces a novel vague set approach to develop a selective but robust, flexible and intelligent contrast enhancement technique for mammograms. Wavelet based filtering analysis can produce Low Frequency (LF) and High Frequency (HF) subbands of the original input images. The extremely small size microcalcifications become visible under multiresolution techniques. LF subband is then fuzzified by conventional fuzzy c-means clustering (FCM) algorithm with justified number of clusters. HF components, representing the narrow protrusions and other fine details are also fuzzified by FCM with justified number of clusters. Vague set approach captures the hesitancies and uncertainties of truly affected masses/other breast abnormalities with normal glandular tissues. After highlighting the masses/microcalcifications accurately, both LF and HF subbands are transformed back to the original resolution by inverse wavelet transform. The results show that the proposed method can successfully enhance the selected regions of mammograms and provide better contrast images for visual interpretation.
Multirresolución adaptativa de mallas triangulares basado en criterios de textura
Ceballos,Alexánder; Hernández,Jorge; Prieto,Flavio;
Ingeniería y Desarrollo , 2007,
Abstract: usually, 3d models are composed by thousands of polygons. some times, those representations can be obtained with the same visual quality but with a smaller number of polygons. in this paper, we present a method that reduces the size of 3d textured images based on triangular meshes, keeping the visual quality of the model. we introduced a texture criterion that controls the triangle decimation process. we used a polygonal algorithm of decimation that permits the structured point elimination without carrying out a new triangulation on the point cloud. in order to determine which points must to be removed, we used a 2d sobel filter on the texture. we show that the algorithm can be used for reducing the load, rendering, transfer and storage times of 3d textured images.
Construction of wavelet bases with hexagonal symmetry
Wenchang Sun,Xingwei Zhou
Chinese Science Bulletin , 1999, DOI: 10.1007/BF02885020
Abstract: A new method of the construction of bidimensional wavelet bases is presented. An example of orthonormal bases of compactty supported bidimensional wavelets with hexagonal symmetry is given.
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