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Fast image compression using matrix K-L transform

by Daoqiang Zhang, Songcan Chen
"... Abstract: A novel matrix K-L transform (MatKLT) is proposed as an extension to the conventional K-L transform (KLT) in this paper for fast image compression. Experimental results on 18 publicly available benchmark images show that the MatKLT is tens to hundreds times faster than standard KLT with co ..."
Abstract - Cited by 6 (0 self) - Add to MetaCart
Abstract: A novel matrix K-L transform (MatKLT) is proposed as an extension to the conventional K-L transform (KLT) in this paper for fast image compression. Experimental results on 18 publicly available benchmark images show that the MatKLT is tens to hundreds times faster than standard KLT

K.-L.: Transform coding for hardwareaccelerated volume rendering

by Nathaniel Fout, Student Member, Kwan-liu Ma, Senior Member - IEEE Transactions on Visualization and Computer Graphics
"... Abstract—Hardware-accelerated volume rendering using the GPU is now the standard approach for real-time volume rendering, although limited graphics memory can present a problem when rendering large volume data sets. Volumetric compression in which the decompression is coupled to rendering has been s ..."
Abstract - Cited by 10 (0 self) - Add to MetaCart
-based transform coding scheme designed specifically with real-time volume rendering in mind, such that the decompression is fast without sacrificing compression quality. This is made possible by consolidating the inverse transform with dequantization in such a way as to allow most of the reprojection

Efficient time series matching by wavelets

by Kin-pong Chan, Ada Wai-chee Fu - Proc. of 15th Int'l Conf. on Data Engineering , 1999
"... Time series stored as feature vectors can be indexed by multidimensional index trees like R-Trees for fast retrieval. Due to the dimensionality curse problem, transformations are applied to time series to reduce the number of dimensions of the feature vectors. Different transformations like Discrete ..."
Abstract - Cited by 286 (1 self) - Add to MetaCart
Discrete Fourier Transform (DFT), Discrete Wavelet Transform (DWT), Karhunen-Loeve (K-L) transform or Singular Value Decomposition (SVD) can be applied. While the use of DFT and K-L transform or SVD have been studied in the literature, to our knowledge, there is no in-depth study on the application of DWT

Evaluation of Pattern Classifiers for Fingerprint and OCR Applications

by J.L. Blue, G.T. Candela, P.J. Grother, R. Chellappa, C.L. Wilson - Pattern Recognition , 1993
"... In this paper we evaluate the classification accuracy of four statistical and three neural network classifiers for two image based pattern classification problems. These are fingerprint classification and optical character recognition (OCR) for isolated handprinted digits. The evaluation results rep ..."
Abstract - Cited by 37 (2 self) - Add to MetaCart
reported here should be useful for designers of practical systems for these two important commercial applications. For the OCR problem, the Karhunen-Lo`eve (K-L) transform of the images is used to generate the input feature set. Similarly for the fingerprint problem, the K-L transform of the ridge

MVA '92 IAPR Workshop on Machine Vision Applications Dec. 7-9,1992, Tokyo The Domain of Orthogonal Transforms and the Understanding of Image Features

by Malek Adjouadi, Habibie Sumargo, Jean Andrian, Frank C
"... In this study, we explore the domain of orthogonal transforms, in order to bring an understanding on the characterization of image features, with emphasis placed on the Karhunen-Loeve (K-L) transform for its optimal energy packing properties. The study's wnmbution is in establishing a thorough ..."
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In this study, we explore the domain of orthogonal transforms, in order to bring an understanding on the characterization of image features, with emphasis placed on the Karhunen-Loeve (K-L) transform for its optimal energy packing properties. The study's wnmbution is in establishing a thorough

Optimal Y-U-V Model Based On Karhunen-Loeve

by Guorong Xuan Pual, Guorong Xuan, Pual Fisher
"... An optimal Y-U-V transformation based on Karhunen-Loeve transformation for image compression proposed in this paper is considered as a spectral redundancy reduction. The PSNR is gained for optimal Y-U-V in comparison with traditional fixed Y-U-V transformation, because the variances are most separat ..."
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separately after K-L transformation and the down sampling is taken on the coordinates with smallest variances in optimal Y-U-V transformation. The K-L transformation in optimal Y-U-V is an image-dependent transform that is to de-correlate the data in color spectral domain by using eigenvector matrix

A biometric identification system based on eigenpalm and eigenfinger features

by Slobodan Ribaric, Ivan Fratric - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2005
"... Abstract—This paper presents a multimodal biometric identification system based on the features of the human hand. We describe a new biometric approach to personal identification using eigenfinger and eigenpalm features, with fusion applied at the matching-score level. The identification process can ..."
Abstract - Cited by 49 (4 self) - Add to MetaCart
can be divided into the following phases: capturing the image; preprocessing; extracting and normalizing the palm and strip-like finger subimages; extracting the eigenpalm and eigenfinger features based on the K-L transform; matching and fusion; and, finally, a decision based on the (k, l

-u.ac.jp

by Guowei Zu, Wataru Ohyama, Fumitaka Kimura
"... In this paper, we describe a comparative study on techniques of feature transformation and classification to improve the accuracy of automatic text classification. The normalization to the relative word frequency, the principal component analysis (K-L transformation) and the power transformation wer ..."
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In this paper, we describe a comparative study on techniques of feature transformation and classification to improve the accuracy of automatic text classification. The normalization to the relative word frequency, the principal component analysis (K-L transformation) and the power transformation

Efficient Time Series Matching by Wavelets

by unknown authors
"... Time series stored as feature vectors can be indexed by multidimensional index trees like R-Trees for fast retrieval. Due to the dimensionality curse problem, transformations are applied to time series to reduce the number of dimensions of the feature vectors. Different transformations like Discrete ..."
Abstract - Add to MetaCart
Discrete Fourier Transform (DFT), Discrete Wavelet Transform (DWT), Karhunen-Loeve (K-L) transform or Singular Value Decomposition (SVD) can be applied. While the use of DFT and K-L transform or SVD have been studied in the literature, to our knowledge, there is no in-depth study on the application of DWT

Histogram

by Jiang Tao
"... Along with the rapid development of remote sensing technology, remote sensing images have been used in more and more fields. How to retrieval the images rapidly and effectively from the gigantic database consequentially becomes an important and challenging task. Considering the characteristic of mul ..."
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of multi-spectral or hyper-spectral remote sensing images, K-L transformation based image retrieval method is proposed in this paper. Instead of original multi-spectral image, an image retrieval can be carried out using the histogram of the first three principal component images,. If we use an annular
Results 1 - 10 of 1,613