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Image Compression and Classification using Nonlinear Filter Banks

Georgia Institute of Technology Center for Signal and Image Processing. Objectives. To examine various filter banks that use nonlinear operations with the following goals:reduced computational complexityimproved objective and/or subjective qualityreduced storage space re

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Image Compression and Classification using Nonlinear Filter Banks

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    1. Image Compression and Classification using Nonlinear Filter Banks Tami R. Randolph Advisor: Mark J. T. Smith

    2. Georgia Institute of Technology Center for Signal and Image Processing Objectives To examine various filter banks that use nonlinear operations with the following goals: reduced computational complexity improved objective and/or subjective quality reduced storage space requirements To apply these filter banks to compression, classification and enhancement of images

    3. Georgia Institute of Technology Center for Signal and Image Processing Conventional Linear Filter Banks Conventional two-band analysis-synthesis filter bank.

    4. Georgia Institute of Technology Center for Signal and Image Processing Bit Representation Expansion

    5. Georgia Institute of Technology Center for Signal and Image Processing Finite Field Filter Banks Operations performed in GF(N). Modulo addition and multiplication Extended synthesis section

    6. Georgia Institute of Technology Center for Signal and Image Processing Finite Field Filter Banks Post-mapping operation. Governed by field order, N, and system gain, M. Map the values found in set B into set A.

    7. Georgia Institute of Technology Center for Signal and Image Processing Nonlinear Filter Banks

    8. Georgia Institute of Technology Center for Signal and Image Processing Nonlinear Filter Banks for Image Compression Examine applications to SAR image class. Decompose image with nonlinear, nonuniform filter bank. Used morphological representation for coding. Conventional filter bank Florencio and Schafer structure

    9. Georgia Institute of Technology Center for Signal and Image Processing Nonlinear Filter Banks for Image Compression

    10. Georgia Institute of Technology Center for Signal and Image Processing Nonlinear Filter Banks for Image Compression Pyramid structure lends itself to tree quantization morphological tree quantization (dilation process to grow significant coefficient regions) [Servetto et. al 1996] 5-level decomposition at .25 bpp New methods maintain texture similar to that of original

    11. Georgia Institute of Technology Center for Signal and Image Processing Nonlinear Filter Banks for Image Compression

    12. Georgia Institute of Technology Center for Signal and Image Processing Octave Band vs Angular

    13. Georgia Institute of Technology Center for Signal and Image Processing Nonlinear Filter Banks

    14. Georgia Institute of Technology Center for Signal and Image Processing Angular Decomposition

    15. Georgia Institute of Technology Center for Signal and Image Processing Angular Decomposition

    16. Georgia Institute of Technology Center for Signal and Image Processing Binary Angular Decomposition

    17. Georgia Institute of Technology Center for Signal and Image Processing Binary Angular Filter Banks

    18. Georgia Institute of Technology Center for Signal and Image Processing Binary Angular Filter Banks

    19. Georgia Institute of Technology Center for Signal and Image Processing Binary Angular Filter Banks

    20. Georgia Institute of Technology Center for Signal and Image Processing Higher Order Neural Network (HONN)

    21. Georgia Institute of Technology Center for Signal and Image Processing Higher Order Neural Network (HONN)

    22. Georgia Institute of Technology Center for Signal and Image Processing Higher Order Neural Network (HONN)

    23. Georgia Institute of Technology Center for Signal and Image Processing Application to Automatic Target Recognition (ATR) MSTAR database: Train on 1622 images. Test on 1365 images.

    24. Georgia Institute of Technology Center for Signal and Image Processing Application to Automatic Target Recognition (ATR)

    25. Georgia Institute of Technology Center for Signal and Image Processing Application to Automatic Target Recognition (ATR)

    26. Georgia Institute of Technology Center for Signal and Image Processing Summary

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