EUROCON 2009, May 21, Saint-Peterburg  NO - REFERENCE QUALITY ASSESSMENT OF WAVELET-COMPRESSED IMAGES   Vladimir Khryashch...
EUROCON 2009, May 21, Saint-Peterburg Outline <ul><li>Image compression : JPEG vs. JPEG2000 </li></ul><ul><li>Image qualit...
Image compression standard history <ul><li>JPEG – 1994   </li></ul><ul><li>ISO/IEC 10918-1,   ITU-T.Rec.T.81 </li></ul><ul...
JPEG Artifacts Original  Lenna  Image Lenna with JPEG compression  (ratio K=40) 8x8 block structure !!! EUROCON 2009, May ...
JPEG2000 Artifacts Original  Lenna  Image Blurring !!! Lenna with JPEG2000 compression  (ratio K=80) EUROCON 2009, May 21,...
JPEG2000 Artifacts Original  Lenna  Image Ringing !!! Lenna with JPEG2000 compression  (ratio K=80) EUROCON 2009, May 21, ...
EUROCON 2009, May 21, Saint-Peterburg JPEG vs JPEG2000 Comparison (Classical) JPEG without deblocking, JPEG 2000 Kakadu v....
EUROCON 2009, May 21, Saint-Peterburg JPEG vs JPEG2000 Comparison (Classical) JPEG 2000 delivers about 20%  better compres...
EUROCON 2009, May 21, Saint-Peterburg JPEG vs JPEG2000 Comparison (Modern) JPEG with deblocking, JPEG 2000, SPIHT,  AGU  (...
EUROCON 2009, May 21, Saint-Peterburg Motion JPEG2000 Standard for Digital Cinema In Motion JPEG 2000 each frame is coded ...
EUROCON 2009, May 21, Saint-Peterburg From MSE and PSNR to modern image quality assessment Z. Wang and A.C. Bovik, &quot;M...
EUROCON 2009, May 21, Saint-Peterburg The problem formulation create a  no-reference  (working without original image) met...
EUROCON 2009, May 21, Saint-Peterburg No-reference Algorithm for JPEG2000 Based on statistical model of the wavelet coeffi...
EUROCON 2009, May 21, Saint-Peterburg Joint histograms for one subband of Lenna image original K=3,29 K=10,26 K=42,11
EUROCON 2009, May 21, Saint-Peterburg Partition of the (P, C) space into quadrants
EUROCON 2009, May 21, Saint-Peterburg Quality estimation calculation
EUROCON 2009, May 21, Saint-Peterburg Quality estimation calculation No-reference image quality estimation ( NIQE2000 ) fr...
EUROCON 2009, May 21, Saint-Peterburg MOS estimation for JPEG2000 images Visual experiment in Yaroslavl State University 1...
EUROCON 2009, May 21, Saint-Peterburg Subband labels
EUROCON 2009, May 21, Saint-Peterburg Subband visualization
EUROCON 2009, May 21, Saint-Peterburg Parameters optimization Obtained algorithm parameters’ values for finest and second-...
EUROCON 2009, May 21, Saint-Peterburg Visual Results Original Image K=17, PSNR=36,61 dB, UQI=0,60,  NIQE2000=60,12
EUROCON 2009, May 21, Saint-Peterburg Visual Results K=100, PSNR=28,97 dB, UQI=0,37,  NIQE2000=31,61 K=50, PSNR=31,96 dB, ...
EUROCON 2009, May 21, Saint-Peterburg NIQE2000 with PSNR
EUROCON 2009, May 21, Saint-Peterburg Correlation between MOS and objective estimations
EUROCON 2009, May 21, Saint-Peterburg Conclusions NIQE2000   criteria can be successfully used for quality assessment of i...
EUROCON 2009, May 21, Saint-Peterburg Real-Life JPEG2000 Yaroslavl Image Quality Estimation NIQE = 100
EUROCON 2009, May 21, Saint-Peterburg Real-Life JPEG2000 Yaroslavl Image Quality Estimation NIQE = 100
EUROCON 2009, May 21, Saint-Peterburg Real-Life JPEG2000 Yaroslavl Image Quality Estimation NIQE = 100
EUROCON 2009, May 21, Saint-Peterburg Real-Life JPEG2000 Yaroslavl Image Quality Estimation NIQE = 100
EUROCON 2009, May 21, Saint-Peterburg Yaroslavl 1000  anniversary   (1010-2010)   You are Welcome !!!
EUROCON 2009, May 21, Saint-Peterburg Thank you for your attention !!!
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Eurocon2009 Khryashchev

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Eurocon2009 Khryashchev

  1. 1. EUROCON 2009, May 21, Saint-Peterburg NO - REFERENCE QUALITY ASSESSMENT OF WAVELET-COMPRESSED IMAGES Vladimir Khryashchev Yaroslavl State University Russia
  2. 2. EUROCON 2009, May 21, Saint-Peterburg Outline <ul><li>Image compression : JPEG vs. JPEG2000 </li></ul><ul><li>Image quality assessment : from PSNR to No-Reference estimation </li></ul><ul><li>Algorithm description </li></ul><ul><li>Results </li></ul><ul><li>Conclusions </li></ul>
  3. 3. Image compression standard history <ul><li>JPEG – 1994 </li></ul><ul><li>ISO/IEC 10918-1, ITU-T.Rec.T.81 </li></ul><ul><li>JPEG 2000 – December 2000 </li></ul><ul><li>ISO/IEC 15444-1 </li></ul><ul><li>The experts decided to depart from the block based DCT coding used by </li></ul><ul><li>existing JPEG and MPEG standards in favor of wavelet based compression </li></ul><ul><li>which delivered better quality. </li></ul>EUROCON 2009, May 21, Saint-Peterburg
  4. 4. JPEG Artifacts Original Lenna Image Lenna with JPEG compression (ratio K=40) 8x8 block structure !!! EUROCON 2009, May 21, Saint-Peterburg
  5. 5. JPEG2000 Artifacts Original Lenna Image Blurring !!! Lenna with JPEG2000 compression (ratio K=80) EUROCON 2009, May 21, Saint-Peterburg
  6. 6. JPEG2000 Artifacts Original Lenna Image Ringing !!! Lenna with JPEG2000 compression (ratio K=80) EUROCON 2009, May 21, Saint-Peterburg
  7. 7. EUROCON 2009, May 21, Saint-Peterburg JPEG vs JPEG2000 Comparison (Classical) JPEG without deblocking, JPEG 2000 Kakadu v. 6.0
  8. 8. EUROCON 2009, May 21, Saint-Peterburg JPEG vs JPEG2000 Comparison (Classical) JPEG 2000 delivers about 20% better compression than JPEG. And, at more extreme compression ratios, JPEG 2000 delivers significantly better quality. Another key benefit of JPEG 2000 is that it supports both lossless and lossy compression in a single codec – a very desirable feature in certain applications such as medical imaging.
  9. 9. EUROCON 2009, May 21, Saint-Peterburg JPEG vs JPEG2000 Comparison (Modern) JPEG with deblocking, JPEG 2000, SPIHT, AGU ( DCT 32x32 ) N.N. Ponomarenko, K.O. Egiazarian, V.V. Lukin, J.T. Astola, High-Quality DCT-Based Image Compression Using Partition Schemes, IEEE Signal Processing Letters , Vol. 14, Issue 2, February, 2007, pp. 105-108. http://ponomarenko.info/agu.htm
  10. 10. EUROCON 2009, May 21, Saint-Peterburg Motion JPEG2000 Standard for Digital Cinema In Motion JPEG 2000 each frame is coded individually. Intra-frame coding allows for random access and reduced complexity. In MPEG the encoding uses a series of frames – inter-frame coding. This allows for improved compression efficiency but the coding technique is more complex.
  11. 11. EUROCON 2009, May 21, Saint-Peterburg From MSE and PSNR to modern image quality assessment Z. Wang and A.C. Bovik, &quot;Mean squared error: Love it or leave it? - A new look at signal fidelity measures&quot;, IEEE Signal Processing Magazine, Vol: 26 No: 1, Page(s): 98-117, January 2009. N. Ponomarenko, F. Battisti, K. Egiazarian, J. Astola, V. Lukin &quot;Metrics performance comparison for color image database&quot;, Fourth international workshop on video processing and quality metrics for consumer electronics, Scottsdale, Arizona, USA. Jan. 14-16, 2009, 6 p. Introduction paper Detailed analysis for 18 metrics and 17 types of distortions More than 20 new full-reference metrics
  12. 12. EUROCON 2009, May 21, Saint-Peterburg The problem formulation create a no-reference (working without original image) metrics for estimation quality of JPEG2000 compression images Quality ?
  13. 13. EUROCON 2009, May 21, Saint-Peterburg No-reference Algorithm for JPEG2000 Based on statistical model of the wavelet coefficient’s magnitude proposed by Simoncelli (1997) and Bovik at al (2002) algorithm of quality estimation.
  14. 14. EUROCON 2009, May 21, Saint-Peterburg Joint histograms for one subband of Lenna image original K=3,29 K=10,26 K=42,11
  15. 15. EUROCON 2009, May 21, Saint-Peterburg Partition of the (P, C) space into quadrants
  16. 16. EUROCON 2009, May 21, Saint-Peterburg Quality estimation calculation
  17. 17. EUROCON 2009, May 21, Saint-Peterburg Quality estimation calculation No-reference image quality estimation ( NIQE2000 ) from [0, 100] interval where the weights ω are learned by minimizing quality prediction error over the training set
  18. 18. EUROCON 2009, May 21, Saint-Peterburg MOS estimation for JPEG2000 images Visual experiment in Yaroslavl State University 10 test images , 7 compression ratio for JPEG2000, 100 peoples . ITU-R BT.500-11 methodology for DMOS calculations
  19. 19. EUROCON 2009, May 21, Saint-Peterburg Subband labels
  20. 20. EUROCON 2009, May 21, Saint-Peterburg Subband visualization
  21. 21. EUROCON 2009, May 21, Saint-Peterburg Parameters optimization Obtained algorithm parameters’ values for finest and second-finest scales are shown in this table. Last two scales of the wavelet transformation were not used since quantization process has little effect on them.
  22. 22. EUROCON 2009, May 21, Saint-Peterburg Visual Results Original Image K=17, PSNR=36,61 dB, UQI=0,60, NIQE2000=60,12
  23. 23. EUROCON 2009, May 21, Saint-Peterburg Visual Results K=100, PSNR=28,97 dB, UQI=0,37, NIQE2000=31,61 K=50, PSNR=31,96 dB, UQI=0,46, NIQE2000=35,62
  24. 24. EUROCON 2009, May 21, Saint-Peterburg NIQE2000 with PSNR
  25. 25. EUROCON 2009, May 21, Saint-Peterburg Correlation between MOS and objective estimations
  26. 26. EUROCON 2009, May 21, Saint-Peterburg Conclusions NIQE2000 criteria can be successfully used for quality assessment of images compressed with JPEG2000 algorithm. The correlations between NIQE2000 and MOS is close to PSNR-MOS, but NIQE2000 is no-reference estimation with very important for practical tasks. Another no-reference quality assessment algorithms for JPEG2000 can be done by estimation ringing and blurring artifacts separately and after combining them to the new quality metrics.
  27. 27. EUROCON 2009, May 21, Saint-Peterburg Real-Life JPEG2000 Yaroslavl Image Quality Estimation NIQE = 100
  28. 28. EUROCON 2009, May 21, Saint-Peterburg Real-Life JPEG2000 Yaroslavl Image Quality Estimation NIQE = 100
  29. 29. EUROCON 2009, May 21, Saint-Peterburg Real-Life JPEG2000 Yaroslavl Image Quality Estimation NIQE = 100
  30. 30. EUROCON 2009, May 21, Saint-Peterburg Real-Life JPEG2000 Yaroslavl Image Quality Estimation NIQE = 100
  31. 31. EUROCON 2009, May 21, Saint-Peterburg Yaroslavl 1000 anniversary (1010-2010) You are Welcome !!!
  32. 32. EUROCON 2009, May 21, Saint-Peterburg Thank you for your attention !!!

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