On the Mathematical Properties of the Structural Similarity Index
By Dominique Brunet, Edward R. Vrscay, Zhou Wang. IEEE Transactions on Image Processing, 2012
599 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/10c0005c16a30ed3e97753ba723bb70d4ba16b70
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
In Computer Vision and Pattern Recognition
- Wen Gao
- Shiqi Wang
- Siwei Ma
- Sumohana S. Channappayya
- Parimala Kancharla
- Abdul Rehman
- Zhou Wang
- Dacheng Tao
Citations in the corpus
- Image Quality Assessment: Unifying Structure and Texture Similarity (2020, unknown): “[58] have proved that dij(x, y) is a metric for αij ≥ 0 and βij ≥ 0.”
- Quality Aware Generative Adversarial Networks (2019, methodology): “Further, as in the SSIM index, the image level distance metric for an M × N image is defined as We refer the reader to [15] for a detailed exposition of the properties of this distance metric.”
- Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields (2021, unknown): “To enable easier comparison, we also present an “average” error metric that summarizes all three metrics: the geometric mean of MSE = 10−PSNR/10, √ 1− SSIM (as per [5]), and LPIPS.”
- Perceptual Video Coding Based on SSIM-Inspired Divisive Normalization (2013, methodology): “In this work, we aim to transform the optimization process in (1) into a perceptually uniform domain by incorporating the divisive normalization framework.”
- Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition (2014, unknown): “3.”