Image analysis – Image compression or coding – Pyramid – hierarchy – or tree structure
Reexamination Certificate
2008-04-01
2008-04-01
Alavi, Amir (Department: 2624)
Image analysis
Image compression or coding
Pyramid, hierarchy, or tree structure
C375S240190
Reexamination Certificate
active
07352906
ABSTRACT:
A method and system for mapping the flow data that will be the subject of wavelet transform equations to a system comprising adders, subtractors, multipliers and/or dividers to perform the mathematical functions set forth in the particular wavelet transform. A shift register is utilized to continually flow the individual data bytes of the data file being processed through the system. By mapping these hardware components to perform the computations involved in wavelet transform equations, an entire data file (e.g., a digital image) can be processed serially as it flows through the shift register triggered by a clock pulse to the shift register.
REFERENCES:
patent: 3754128 (1973-08-01), Corinthios
patent: 5537344 (1996-07-01), Isshiki et al.
patent: 5706220 (1998-01-01), Vafai et al.
patent: 5838377 (1998-11-01), Greene
patent: 5984514 (1999-11-01), Hallmark et al.
patent: 6052205 (2000-04-01), Matsuura
patent: 6125210 (2000-09-01), Yang
patent: 6178269 (2001-01-01), Acharya
patent: 6182102 (2001-01-01), Ramachandran et al.
patent: 6229927 (2001-05-01), Schwartz
patent: 6246798 (2001-06-01), Andrew et al.
patent: 6275619 (2001-08-01), Chui
patent: 6353634 (2002-03-01), Houlberg
patent: 6459816 (2002-10-01), Matsuura et al.
patent: 6518908 (2003-02-01), Boehm et al.
patent: 6888970 (2005-05-01), Sandford
“Investigation of Signal Characteristics Using the Continuous Wavelet Transform”, John Sadowsky, Johns Hopkins APL Technical Digest, vol. 17, No. 3, pp. 258-269.
“Computation of the Continuous Wavelet Transform on Massively Parallel SIMD Arrays”, Feil and Uhi, Parallel Processing Letters, vol. 9, No. 4, 453-466.
“An Overview of JPEG-2000”, Marcellin et al., Proc. of IEEE Data Compression Conference, pp. 523-541.
“Real Time Image Analysis Using MIMD Parallel a Trous Wavelet Algorithms”, Feil and Uhl ,Real-Time Imaging, vol. 7, No. 6, p. 483-493.
“Proceedings of the 1998 IEEE International Conference on Acoosties, Speech and Signal Processing”, ICASSP '98, 6 vol. 1xii+3816 pp.
“38th Midwest Symposium on Circuits and Systems”, Proceedings, 2 vol. xxviii+1384 pp.
“Continuous Wavelet Transform of 1D Signals by Fourier Filtering”, Caulfield and Szu, Proceedings of the SPIE, vol. 1705, pp. 314-315.
“Parallel Discrete and Continuous Wavelet Transforms”, Caulfield and Szu, Optical Engineering, vol. 31, No. 9 pp. 1835-1839.
“Multi-scale Optical Image Processing”, Freeman et al., 1991 IEEE International Symposium on Circuits and Systems, vol. 4, pp. 2355-2358.
Chrysafis, C. et al: “Line-Based, Reduced Memory, Wavelet Image Compression” IEEE Transactions on Image Processing, IEEE Inc. New York, US, vol. 9, No. 3, Mar. 2000, pp. 378-388.
Baghaie, R et al: “Computing Haar Transform Using Algebraic Integers” Conference Record of the 34th. Asilomar Conference on Signals, Systems, Computers, Pacific Grove, CA, USA, vol. 1, Oct. 29, 2000, pp. 438-442.
Alavi Amir
Cooch Francis A.
The Johns Hopkins University
LandOfFree
Continuous transform method for wavelets does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Continuous transform method for wavelets, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Continuous transform method for wavelets will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2774439