Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Shyh-shiaw Kuo"'
Autor:
J.D. Johnston, Shyh-shiaw Kuo
Publikováno v:
ICIP (2)
A spatial noise shaping (SNS) method based on human visual sensitivity is presented. The method exploits the capability of frequency domain linear prediction for spatial envelope retrieval. It effectively shapes (or hides) the noise of an image in ar
Publikováno v:
IEEE Transactions on Image Processing. 8:1120-1124
In this work, discriminative training is studied to improve the performance of our pseudo two-dimensional (2-D) hidden Markov model (PHMM) based text recognition system. The aim of this discriminative training is to adjust model parameters to directl
Autor:
Shyh-Shiaw Kuo, Chinching Yen
Publikováno v:
Graphical Models and Image Processing. 57:131-145
The pseudo-two-dimensional hidden Markov model (PHMM), which is an extension of the 1D HMM, has been shown to be an effective approach in recognition of highly degraded and connected text (O. E. Agazzi and S. Kuo, AT&T Tech. J. 72, Sept./Oct. 1993, 6
Autor:
Shyh-Shiaw Kuo, C.B. Bose
Publikováno v:
ICPR (2)
We have applied a Hidden Markov Model (HMM) and level-building dynamic programming algorithm to the problem of robust machine recognition of connected and degraded characters forming words in a poorly printed text. The recognition system consists of
Autor:
Shyh-Shiaw Kuo, Oscar E. Agazzi
Publikováno v:
Journal of Visual Communication and Image Representation. 5:265-272
An algorithm for automatic recognition of keywords embedded in a poorly printed document is presented. For each keyword, two statistical models, named Hidden Markov Models (HMMs), are created to represent the actual keyword and all the other extraneo
Autor:
Shyh-Shiaw Kuo, O.E. Agazzi
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 16:842-848
An algorithm for robust machine recognition of keywords embedded in a poorly printed document is presented. For each keyword, two statistical models, called pseudo 2-D hidden Markov models, are created for representing the actual keyword and all the
Autor:
Oscar E. Agazzi, Shyh-Shiaw Kuo
Publikováno v:
Pattern Recognition. 26:1813-1826
A method is introduced to combine and jointly optimize recognition and image normalization in optical character recognition algorithms based on pseudo two-dimensional (2D) hidden Markov models (HMMs). The method can be combined with a previous method
Autor:
Oscar E. Agazzi, Shyh-shiaw Kuo
Publikováno v:
AT&T Technical Journal. 72:60-72
Hidden Markov models (HMM) have become the most popular technique for automatic speech recognition. Extending this technique to the two-dimensional domain is a promising approach to solving difficult problems in optical character recognition (OCR), s
Autor:
Richard J. Mammone, Shyh-shiaw Kuo
Publikováno v:
Journal of Visual Communication and Image Representation. 4:92-101
A new iterative algorithm is presented for restoring noisy blurred images where the point spread function (PSF) is unknown. The method initially estimates the PSF and the original image using the Expectation Maximization (EM) method. The resulting im
Autor:
James D. Johnston, Shyh-Shiaw Kuo
Publikováno v:
IEEE Signal Processing Letters. 8:245-247
We have studied and concluded that the time domain cross channel prediction is generally not applicable to perceptual audio coding. From the statistical analysis, correlation among certain channels seems to be enough to provide some coding gain and t