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Fixed-Analysis Adaptive-Synthesis (FAAS) Filter Banks By Clyde A. Lettsome, P.E. Ph.D. Dissertation Advisors Dr. Mark J. T. Smith Dr. Russell M. Mersereau
What is a Filter Bank?  Uniform M-Channel Filter Bank A S
Time-Varying Combinations for Filter Banks Nayebi, Arrowood, Chung, Sodagar, and others Time-Varying filter banks Newer Our Research Adaptive Synthesis No known research   done Numerous Researchers Conventional Filter bank Wavelets Fixed Synthesis Adaptive Analysis Fixed Analysis
Purpose of this Dissertation ,[object Object],[object Object],[object Object]
Outline  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The First AAAS Filter Bank ,[object Object],[object Object],[object Object],[object Object]
AAAS Filter Banks Postfilters ,[object Object],[object Object],[object Object],[object Object]
AAAS Filter Bank Structure with a Postfilter
AAAS Filter Banks for Image Coding ,[object Object],[object Object],[object Object]
Disadvantages of the AAAS ,[object Object],[object Object],[object Object],[object Object],[object Object]
Motivation for the FAAS Filter Bank ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
FAAS Filter Banks Block Diagram
Application of Image compression ,[object Object],[object Object]
FAAS Filter Design  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
FAAS Filter Banks Filter Design Where  A is a block Toeplitz matrix of analysis coefficients. S is a matrix of synthesis filter coefficients. B is a reconstruction matrix where the system delay can be adjusted.
FAAS Filter Banks Filter Design 1. Insert initial analysis filter coefficients for A. 2. Choose a desired delay by sliding the exchange matrix in B. 3. Solve for S. Note: S contains the synthesis filter coefficients given by Q ……
FAAS Filter Banks Filter Design 4. Use A, S, and B to form reconstruction error component. 5. Form a frequency domain component. 6. Find the total system weighted error.
Implementation Protocols ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Distortion at Low Bit Rate ,[object Object],Original Image Image at 0.25 bpp
Cause of Distortion in Coding Applications ,[object Object]
Low Delay Step Response Low delay step response
Linear Phase Step Response Linear Phase Step Response
High Delay Step Response High Delay Step Response
Distortion Suppression Linear phase =green Low delay =blue High delay =red All step responses
Distortion Suppression Protocol ,[object Object],[object Object],If If and and then then On a pixel by pixel basis.
Distortion Suppression Mask Row filtered mask Original image Linear phase =green Low delay =blue High delay =red
Convolution and Boundary Distortion ,[object Object],[object Object],Circularly convolved low bit rate coded image Original Image
Symmetric Extension ,[object Object],Symmetrically extended and convolved low bit rate coded image ,[object Object]
Consider After
FAAS Filter Bank Application to Symmetric Extension ,[object Object],(a) Original signal (b) Analysis lowpass filter (c )  V o (n) (d)  Y o (n)  after window function (e)  Y o (n)  after symmetric extension and upsampling (f) Results after filtering with the synthesis lowpass ,[object Object]
FAAS Filter Bank Application to Symmetric Extension ,[object Object],(h) Results after windowing Results from a filter bank system with half-point nonlinear symmetric extension
Image Coding Results Conventional SPIHT coder at 0.5bpp FAAS SPIHT coder using optimal selection at 0.5bpp
Image Interpolation
Interpolation Results  Bicubic Interpolated Optimal Adaptive Interpolated Areas of interest
Summary of Results ,[object Object],[object Object],[object Object]
Contributions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Publications and Planned Publications  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Future Work ,[object Object],[object Object],[object Object],[object Object],[object Object]

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My Dissertation Presentation Slides

  • 1. Fixed-Analysis Adaptive-Synthesis (FAAS) Filter Banks By Clyde A. Lettsome, P.E. Ph.D. Dissertation Advisors Dr. Mark J. T. Smith Dr. Russell M. Mersereau
  • 2. What is a Filter Bank? Uniform M-Channel Filter Bank A S
  • 3. Time-Varying Combinations for Filter Banks Nayebi, Arrowood, Chung, Sodagar, and others Time-Varying filter banks Newer Our Research Adaptive Synthesis No known research done Numerous Researchers Conventional Filter bank Wavelets Fixed Synthesis Adaptive Analysis Fixed Analysis
  • 4.
  • 5.
  • 6.
  • 7.
  • 8. AAAS Filter Bank Structure with a Postfilter
  • 9.
  • 10.
  • 11.
  • 12. FAAS Filter Banks Block Diagram
  • 13.
  • 14.
  • 15. FAAS Filter Banks Filter Design Where A is a block Toeplitz matrix of analysis coefficients. S is a matrix of synthesis filter coefficients. B is a reconstruction matrix where the system delay can be adjusted.
  • 16. FAAS Filter Banks Filter Design 1. Insert initial analysis filter coefficients for A. 2. Choose a desired delay by sliding the exchange matrix in B. 3. Solve for S. Note: S contains the synthesis filter coefficients given by Q ……
  • 17. FAAS Filter Banks Filter Design 4. Use A, S, and B to form reconstruction error component. 5. Form a frequency domain component. 6. Find the total system weighted error.
  • 18.
  • 19.
  • 20.
  • 21. Low Delay Step Response Low delay step response
  • 22. Linear Phase Step Response Linear Phase Step Response
  • 23. High Delay Step Response High Delay Step Response
  • 24. Distortion Suppression Linear phase =green Low delay =blue High delay =red All step responses
  • 25.
  • 26. Distortion Suppression Mask Row filtered mask Original image Linear phase =green Low delay =blue High delay =red
  • 27.
  • 28.
  • 30.
  • 31.
  • 32. Image Coding Results Conventional SPIHT coder at 0.5bpp FAAS SPIHT coder using optimal selection at 0.5bpp
  • 34. Interpolation Results Bicubic Interpolated Optimal Adaptive Interpolated Areas of interest
  • 35.
  • 36.
  • 37.
  • 38.

Notes de l'éditeur

  1. This allows for the switching of the analysis filters based on the input characteristics and then directly switching the synthesis filters in lockstep.
  2. Efficient and low complexity
  3. This is an equation that represents convolution and the extension can be implemented within the matrix construct