mlsanityData to 7 Oct 2026

A Hitchhiker's Guide to Structural Similarity

arXiv 2101.06354 ↗First posted 16 Jan 2021eess.IV cs.CV cs.MMcited by 16

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Abstract (arXiv)

The Structural Similarity (SSIM) Index is a very widely used image/video quality model that continues to play an important role in the perceptual evaluation of compression algorithms, encoding recipes and numerous other image/video processing algorithms. Several public implementations of the SSIM and Multiscale-SSIM (MS-SSIM) algorithms have been developed, which differ in efficiency and performance. This "bendable ruler" makes the process of quality assessment of encoding algorithms unreliable. To address this situation, we studied and compared the functions and performances of popular and widely used implementations of SSIM, and we also considered a variety of design choices. Based on our studies and experiments, we have arrived at a collection of recommendations on how to use SSIM most effectively, including ways to reduce its computational burden.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 4 of its 72 references that are in the map. First posted on arXiv 16 Jan 2021.

Builds on

4 of 72 references.

References · 4

  1. 2015Massive Online Crowdsourced Study of Subjective and Objective Picture Qualitycited by 208
  2. 2020UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Contentcited by 140
  3. 2016Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluatorcited by 32
  4. 2016Daala: A Perceptually-Driven Next Generation Video Codeccited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 2; 2024: 7; 2025: 1; 2026: 4.

16 papers.

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  1. 2024A study of why we need to reassess full reference image quality assessment with medical imagescited by 16
  2. 2022DSSIM: a structural similarity index for floating-point datacited by 10
  3. 2024A study on the adequacy of common IQA measures for medical imagescited by 10
  4. 2022FUNQUE: Fusion of Unified Quality Evaluatorscited by 8
  5. 2024Are Synthetic Time-series Data Really not as Good as Real Data?cited by 7
  6. 2023A FUNQUE Approach to the Quality Assessment of Compressed HDR Videoscited by 4
  7. 2024Step Saver: Predicting Minimum Denoising Steps for Diffusion Model Image Generationcited by 2
  8. 2024Joint Quality Assessment and Example-Guided Image Processing by Disentangling Picture Appearance from Contentcited by 1
  9. 2024Simple-RF: Regularizing Sparse Input Radiance Fields with Simpler Solutionscited by 1
  10. 2026HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathologycited by 1
  11. 2023Edge-Aware Image Color Appearance and Difference Modelingcited by 0
  12. 2024Cut-FUNQUE: An Objective Quality Model for Compressed Tone-Mapped High Dynamic Range Videoscited by 0
4 more
  1. 2025Dual Prompting for Diverse Count-level PET Denoisingcited by 0
  2. 2026AuraMask: An Extensible Pipeline for Developing Aesthetic Anti-Facial Recognition Image Filterscited by 0
  3. 2026Spatially Localized Image Degradation Embeddings for Image Quality Assessmentcited by 0
  4. 2026Local SVD-Entropy Maps as a Complementary Structural Representation for Full-Reference and No-Reference Image Quality Assessmentcited by 0