Image analysis – Image transformation or preprocessing – Changing the image coordinates
Reexamination Certificate
2008-04-01
2008-04-01
Mehta, Bhavesh M (Department: 2624)
Image analysis
Image transformation or preprocessing
Changing the image coordinates
C382S156000, C382S300000
Reexamination Certificate
active
10321166
ABSTRACT:
An artificial neural network (ANN) based system that is adapted to process an input pattern to generate an output pattern related thereto having a different number of components than the input pattern. The system (26) is comprised of an ANN (27) and a memory (28), such as a DRAM memory, that are serially connected. The input pattern (23) is applied to a processor (22), where it can be processed or not (the most general case), before it is applied to the ANN and stored therein as a prototype (if learned). A category is associated with each stored prototype. The processor computes the coefficients that allow the determination of the estimated values of the output pattern, these coefficients are the components of a so-called intermediate pattern (24). Assuming the ANN has already learned a number of input patterns, when a new input pattern is presented to the ANN in the recognition phase, the category of the closest prototype is output therefrom and is used as a pointer to the memory. In turn, the memory outputs the corresponding intermediate pattern. The input pattern and the intermediate pattern are applied to the processor to construct the output pattern (25) using the coefficients. Typically, the input pattern is a block of pixels in the field of scaling images.
REFERENCES:
patent: 4631751 (1986-12-01), Anderson et al.
patent: 4712140 (1987-12-01), Mintzer et al.
patent: 4872064 (1989-10-01), Tutt et al.
patent: 5008752 (1991-04-01), Van Nostrand
patent: 5327257 (1994-07-01), Hrytzak et al.
patent: 5347597 (1994-09-01), Stephenson
patent: 5710869 (1998-01-01), Godefroy et al.
patent: 6233365 (2001-05-01), Teruhiko
patent: 6915026 (2005-07-01), Sasai
patent: 2003/0035594 (2003-02-01), Kondo et al.
patent: 11017934 (1999-01-01), None
patent: WO 9616380 (1996-05-01), None
Madani et al.; “ZISC-036 Neuro-processor Based Image Processing”, IWANN 2001, pp. 200-207, Jun. 13-15, 2001.
David et al.; “Description and practical uses of IBM ZISC036”, Proceedings of SPIE, vol. 3728, pp. 198-211, Mar. 1999.
Zero Instruction Set Computer Manual—Pattern Recognition Made Easy, Silicon Recognition Inc., Oct. 2000.
David R et al., “Noise Reduction and Image Enhancement Using a Hardware Implementation of Artificial Neural Networks”, SPIE vol. 3728, pp. 212-221: ISSN 0277-786X.
Taguchi A. et al., “Enlargement of Digital Images by Using Multi-Neutral Networks”, Part of the IS&T/SPIE Conference on Nonlinear Image Processing x, San Jose, CA; Jan. 1999, SPIE vol. 3646, pp. 112-119.
Tamaki O et al. “Enlargement of Digital Images by Neural Networks”, Bulletin of Faculty of Engineering, University of the Ryukyus University. Ryukyus Japan, No. 59; Mar. 2000, pp. 7-15. *T5 English Translation-Abstract Only.
De Tremiolles Ghislain Imbert
Tannhof Pascal
Heslin Rothenberg Farley & & Mesiti P.C.
International Business Machines - Corporation
Mehta Bhavesh M
Radigan, Esq. Kevin P.
Steinberg, Esq. William H.
LandOfFree
Method and circuits for scaling images using neural networks does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and circuits for scaling images using neural networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and circuits for scaling images using neural networks will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3940290