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Complex Wavelet Structural Similarity: A New Image Similarity Index
Abstract
We introduce a new measure of image similarity called the complex wavelet structural similarity (CW-SSIM) index and show its applicability as a general purpose image similarity index. The key idea behind CW-SSIM is that certain image distortions lead to consistent phase changes in the local wavelet coefficients, and that a consistent phase shift of the coefficients does not change the structural content of the image. By conducting four case studies, we have demonstrated the superiority of the CW-SSIM index against other indices (e.g., Dice, Hausdorff distance) commonly used for assessing the similarity of a given pair of images. In addition, we show that the CW-SSIM index has a number of advantages. It is robust to small rotations and translations. It provides useful comparisons even without a preprocessing image registration step, which is essential for other indices. Moreover, it is computationally less expensive.
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Cites
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892
Self-citationA Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
Portilla, J., & Simoncelli, E. P. (2000) · International Journal of Computer Vision · doi:10.1023/a:1026553619983 · Cited by 1,806
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Moorthy, A. K., & Bovik, A. C. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2147325 · Cited by 1,763
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DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
Fu, S., Tamir, N., Sundaram, S., Chai, L., Zhang, R., Dekel, T., & Isola, P. (2023) · Advances in Neural Information Processing Systems 36 · doi:10.52202/075280-2208 · Cited by 108
Prospects of Structural Similarity Index for Medical Image Analysis
Mudeng, V., Kim, M., & Choe, S.-W. (2022) · Applied Sciences · doi:10.3390/app12083754 · Cited by 101
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Metadata
- Authors
- Sampat, M. P., Wang, Z., Gupta, S., Bovik, A. C., & Markey, M. K.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2009-11
- Volume
- 18
- Issue
- 11
- Pages
- 2385-2401
- ISSN
- 1057-7149 (ISSN-L)
- 1941-0042
- OpenAlex
- W2150734399
- Cited by
- 656
- References
- 2
- FWCI
- 22.72
- Type
- journal article
- Language
- en
- Open access
- closed
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