Image analysis – Image compression or coding – Pyramid – hierarchy – or tree structure
Reexamination Certificate
2007-05-29
2007-05-29
Alavi, Amir (Department: 2624)
Image analysis
Image compression or coding
Pyramid, hierarchy, or tree structure
Reexamination Certificate
active
10376491
ABSTRACT:
A new approach to multispectral image compression where the intra- and cross-band correlations are jointly exploited in a surprisingly simple yet very effective manner. The key component of the algorithm is a bijection mapping of the original multispectral image into a virtual 2 dimensional scalar image. By optimally mapping the multispectral image set into a single 2 dimensional array and by subsequently applying a scalar image coding algorithm, the spatial correlation and the spectral correlation of the multispectral data set are jointly exploited. Based on the statistical characteristics of the multispectral data, the bijection mapping can be optimized to minimize the distortion introduced by the compression algorithm. The optimization reduces to the maximization of a function of the second-order statistics of the multispectral data. At high compression rates, the new algorithm outperforms traditional compression algorithms whenever the cross-band correlation is high and it yields comparable performance at low compression rates.
REFERENCES:
patent: 5737448 (1998-04-01), Gardos
patent: 5963935 (1999-10-01), Ozbutun et al.
patent: 6081800 (2000-06-01), Ozbutun et al.
patent: 6879716 (2005-04-01), Ishibashi
patent: 7035457 (2006-04-01), Ishibashi
Segall, Adrian, Bit Allocation And Encoding For Vector Sources, Mar. 1976; p. 162-169; IEEE Transactions On Information Theory.
Abouslemann, et al., Compression Of Hyperspectral Imagery Using The 3D DCT And Hybrid DPCM.DCT; Jan. 1995; p. 26-34; IEEE Transactions On Geoscience And Remote Sensing, vol. 33. No. 1.
Bilgin, et al.; Three-dimensional Image Compression With Integer Wavelet Transforms; Apr. 2000, vol. 39, No. 11; Applied Optics; p. 1799-1814.
“Multichannel Image Compression by Bijection Mappings Onto Zero-Trees,” Paredes, Jose L;; Arce, Gonzalo R.; Russo, Leonard E., ICIP2000: Proceedings 2000 International.
Conference on Image Processing, vol. 3, Sep. 10-13, 2000, pp. 648-651 vol. 3.
Saghri, et al., Practical Transform Coding Of Multispectral Imagery; Jan. 1995; p. 32-43; IEEE Signal Processing Magazine.
Tretter, et al., Optimal Transforms For Multispectral And Multilayer Image Coding; Mar. 1995; p. 296-308; IEEE Transactions On Image Processing, vol. 4 No. 3.
Bradley, et al.; Spectrum Analysis Of Multispectral Imagery In Conjunction With Wavelet/KLT Data Compression; 1993; IEEE; p. 26-30.
Vaisey, et al.; Multispectral Image Coding Using Lattice VQ and The Wavelet Transform; 1998 IEEE; p. 307-311.
Arce Gonzalo R.
Paredes Jose L.
Russo Leonard E.
Alavi Amir
BAE Systems Information And Electric Systems Integration Inc.
Long Daniel J.
Tendler Robert K.
LandOfFree
Bijection mapping for compression/denoising of multi-frame... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Bijection mapping for compression/denoising of multi-frame..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bijection mapping for compression/denoising of multi-frame... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3777816