The SSIM Index for Image Quality Assessment

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The SSIM Index for Image Quality Assessment

• Presented by Wan Shu Cheng

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Abstract

• The Structural SIMilarity (SSIM) index is a novel
  method for measuring the similarity between two
  images.
• The SSIM index can be viewed as a quality measure
  of one of the images being compared, provided the
  other image is regarded as of perfect quality.

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PSNR error pooling
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(No Transcript)
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Diagram of the Structural Similarity (SSIM)
Measurement System
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Structural Similarity (SSIM)

• Similarity measure
• Luminance comparison
• Contrast comparison
• Structure comparison

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Specific form of SSIM Index Universal Quality
Index (UQI)
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• (a) Original
• (b) Salt-Pepper Noise
• MSE225
• SSIM0.6494
• (c)Additive Gaussian Noise
• MSE225
• SSIM0.3891
• (d)Multi-Speckle Noise
• MSE225
• SSIM0.4408

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• (a) Original
• (b) Contrast Stretching
• MSE225
• SSIM0.9372
• (c) Blurring
• MSE225
• SSIM0.3461
• (d) JPEG Compression
• MSE215
• SSIM0.2876

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Source Code

• Matlab Code
• http//www.cns.nyu.edu/zwang/files/research/ssim/
  ssim_index.m
• C Code
• http//mehdi.rabah.free.fr/SSIM/
• http//perso.orange.fr/reservoir/

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Reference

• Image quality assessment From error visibility
  to structural similarity, IEEE Transactions on
  Image Processing, vol. 13, no. 4, pp. 600-612,
  Apr. 2004.
• An adaptive linear system framework for image
  distortion analysis, to appear in IEEE
  International Conference on Image Processing,
  Genoa, Italy, Sept. 11-14, 2005.
• Translation insensitive image similarity in
  complex wavelet domain, IEEE International
  Conference on Acoustics, Speech and Signal
  Processing, vol. II, pp. 573-576, Philadelphia,
  PA, Mar. 2005.
• Video quality assessment based on structural
  distortion measurement, Signal Processing Image
  Communication, special issue on Objective video
  quality metrics, vol. 19, no. 2, pp. 121-132,
  Feb. 2004.
• Multi-scale structural similarity for image
  quality assessment, Invited Paper, IEEE Asilomar
  Conference on Signals, Systems and Computers,
  Nov. 2003.
• Stimulus synthesis for efficient evaluation and
  refinement of perceptual image quality metrics,
  Human Vision and Electronic Imaging IX, Proc.
  SPIE, vol. 5292, Jan. 2004.
• Structural Approaches to image quality
  assessment, to appear in Handbook of Image and
  Video Processing (Al Bovik, ed.), 2nd edition,
  Academic Press, June 2005.
• A universal image quality index, IEEE Signal
  Processing Letters, vol. 9, no. 3, pp. 81-84,
  March 2002.
• Why is image quality assessment so difficult?
  IEEE International Conference on Acoustics,
  Speech, Signal Processing, May 2002.
• Objective video quality assessment, in The
  Handbook of Video Databases Design and
  Applications (B. Furht and O. Marqure, eds.), CRC
  Press, pp. 1041-1078, Sept. 2003.

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