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JPEG 2000 Image Analysis. Darius Fennell University of Rochester. Experiment Objective. Using JPEG 2000 calculate and analyze the following: Distortion vs. Rate Distortion vs. Quantization Time vs. Quantization Time vs. Resolution. Experiment Materials. Dell Computer 2.79 GHz Processing

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Jpeg 2000 image analysis l.jpg

JPEG 2000 Image Analysis

Darius Fennell

University of Rochester


Experiment objective l.jpg
Experiment Objective

  • Using JPEG 2000 calculate and analyze the following:

    • Distortion vs. Rate

    • Distortion vs. Quantization

    • Time vs. Quantization

    • Time vs. Resolution


Experiment materials l.jpg
Experiment Materials

  • Dell Computer

    • 2.79 GHz Processing

    • 2.00 GB of RAM

  • Matlab 7.0.1 R14

  • Kakadu JPEG 2000 software

  • 5 Standard images


Standard imagery l.jpg
Standard Imagery

  • Originally 3 bands @ 512x512

  • Reduced to single band 128x128



Expectation l.jpg
Expectation

  • Distortion vs. Rate

    • As rate increases distortion decreases

  • Distortion vs. Quantization

    • As step size decreases distortion decreases

  • Time vs. Quantization

    • As quantization increases time decreases

  • Time vs. Spatial Resolution

    • As Spatial Resolution increases time increases


Distortion vs rate l.jpg
Distortion vs. Rate

  • Imagery compressed at multiple rates:

    • 7.0,4.0,2.0,1.0,0.5, and 0.25

    • Average Bit Rate per pixel

  • Imagery decompressed to each rate and compared to the original.

    • MSE=var(original-decompressed)



Quantization l.jpg
Quantization

  • Imagery compressed using varying step sizes:2^-7 to 2^7

  • MSE calculated

  • Processing time determined by Matlab’s tic/toc command




Time vs spatial resolution l.jpg
Time vs. Spatial Resolution

  • Images Sizes:

    • 512x512

    • 256x256

    • 128x128

    • 64x64

  • Processing time determined by Matlab’s tic/toc command



Conclusion l.jpg
Conclusion

  • Rate & quantization have a drastic effect on the error.

  • Step size does not significantly effect compression time for quantization.

  • Increased spatial resolution increases compression time yet other factors are involved that affect the over processing chain.


References l.jpg
References

  • http://www.kakadusoftware.com

  • http://www.gvsu.edu/math/wavelets/student_work/EF/index.html


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