Pixel selective wavelet transform methods

Image analysis – Image compression or coding

Reexamination Certificate

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C382S240000

Reexamination Certificate

active

08036473

ABSTRACT:
A method of transforming and sending data, comprising: receiving an image with an associated mask; transforming the received image; quantizing the transformed image; encoding the quantized image and associated mask; and transmitting the encoded image and mask; wherein transforming the received image comprises transforming the dimension subset by repeating steps of: preparing an input vector; determining a filter type; determining a first intermediate vector; determining a second intermediate vector; computing a transform vector from the sum of the first intermediate vector and the second intermediate vector; and computing an output value from the input vector and the computed transform vector.

REFERENCES:
patent: 5764807 (1998-06-01), Pearlman et al.
patent: 5838377 (1998-11-01), Greene
patent: 6148110 (2000-11-01), Yajima et al.
patent: 6148354 (2000-11-01), Ban et al.
patent: 6236684 (2001-05-01), Wu
patent: 6459814 (2002-10-01), Li et al.
patent: 6510251 (2003-01-01), Shirouzu et al.
patent: 6549674 (2003-04-01), Chui et al.
patent: 6701012 (2004-03-01), Matthews
patent: 2003/0133617 (2003-07-01), Mukherjee
patent: 2003/0185454 (2003-10-01), Simard et al.
patent: 2003/0202697 (2003-10-01), Simard et al.
patent: 2005/0058358 (2005-03-01), Zbiciak et al.
Bottou, Leon et al., “Lossy Compression of Partially Masked Still Images”, first presented in Proceedings of the Conference on Data Compression, (DCC '01), Mar. 30-Apr. 1, 1998, p. 528, in Snowbird, Utah, USA, this version Apr. 3, 1998, 10 pages, IEEE, New York, NY, USA.
Herley, Cormac, “Boundary Filters for Finite-Length Signals and Time-Varying Filter Banks”, to appear in 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30-Jun. 2, 1994, pp. 637-640, this version Mar. 24, 1994, 35 pages, IEEE, New York, NY, USA.
Li, Shipeng et al., “Shape-Adaptive Discrete Wavelet Transforms for Arbitrarily Shaped Visual Object Coding”, IEEE Transactions on Circuits and Systems for Video Technology, Aug. 2000, vol. 10, Issue 5, pp. 725-743, this version 28 pages, IEEE, New York, NY, USA.
Lawson, S. et al., “Image Compression Using Wavelets and JPEG2000: a Tutorial”, Electronics & Communication Engineering Journal, Jun. 2002, pp. 112-121.
Simard, Patrice Y. et al., “A Wavelet Coder for Masked Images”, Proceedings of the Conference on Data Compression, (DCC '01), Mar. 30-Apr. 1, 1998, pp. 93-102, this version 10 pages, in Snowbird, Utah, USA, IEEE, New York, NY, USA.
Examiner is notified of office communication (Mail date Nov. 24, 2010) associated with co-pending U.S. Appl. No. 11/771,797 entitled “Group Encoding of Wavelet Precision” filed Jun. 29, 2007 in which US Patent 5,764,807 A; dated Jun. 1998.
Examiner is notified of office communication (Mail date Mar. 2, 2010) associated with co-pending U.S. Appl. No. 11/624,166 entitled “Pixel Selective Wavelet Transform Methods” filed Jan. 17, 2007.
Examiner is notified of final office communication (Mail date Sep. 1, 2010) associated with co-pending U.S. Appl. No. 11/624,166 entitled “Pixel Selective Wavelet Transform Methods” filed Jan. 17, 2007.

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