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Range Image Quality Assessment by Structural Similarity

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Encyclopedia of Multimedia

Synonyms

R-SSIM; Depth image quality assessment; Range image fidelity measurement

Definition

Structural similarity is a quality metric for range images that can handle missing data. It is based on the Multi Scale Structural Similarity Index.

Introduction

The R-SSIM Index uses of a modified version of the Multi-Scale SSIM [1] Index, but specially designed for range images. Range images, bear both many similarities and differences with luminance images. When applying the MS-SSIM algorithm to range images, the three similarity components of MS-SSIM, that is, luminance, contrast and structure, find their counterparts in the range domain as elevation, surface roughness and 3-D structure.

MS-SSIM

The MS-SSIM Index utilizes the same basic algorithm as the SSIM Index first proposed in [2], except it functions over several scales which allows the algorithm to incorporate image details at different resolutions. The algorithm’s greatest appeal is that it matches human subjectivity, since it is...

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References

  1. Z. Wang, E.P. Simoncelli, and A.C. Bovik, “Multi-Scale Structural Similarity for Image Quality Assessment,” Proceedings of the IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2003.

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  2. Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli, “Image Quality Assessment: From Error Visibility to Structural Similarity,” IEEE Transactions on Image Processing, Vol. 13, April 2004, pp. 600–612.

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  3. M. Hebert, “Active and Passive Range Sensing for Robotics,” Proceedings of the IEEE International Conference on Robotics and Automation, Washington, DC, 2000.

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© 2008 Springer-Verlag

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Malpica, W., Bovik, A. (2008). Range Image Quality Assessment by Structural Similarity. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_80

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