weizhou-geek / 3D-Image-Quality-Assessment-Benchmark

A collection of state-of-the-art 3D image quality assessment algorithms

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3D-Image-Quality-Assessment-Benchmark

A list of state-of-the-art image quality assessment algorithms and databases collected by Wei Zhou. If you find that important resources are not included, please feel free to contact me.

3D/stereoscopic image quality assessment (SIQA) algorithms are typically divided into three categories as follows: 1) full-reference SIQA (FR SIQA), 2) reduced-reference SIQA (RR SIQA), and 3) no-reference SIQA (NR SIQA).

FR SIQA

  • Quality assessment of stereoscopic images, EURASIP journal on image and video processing, 2009, Benoit, Alexandre, et al. [PDF]

  • Perceptual quality assessment for stereoscopic images based on 2D image quality metrics and disparity analysis, Proc. Int. Workshop Video Process. Quality Metrics Consum. Electron, 2010, You, Junyong, et al. [PDF]

  • Stereoscopic image quality metrics and compression, Stereoscopic Displays and Applications XIX. International Society for Optics and Photonics, 2008, Gorley, Paul, and Nick Holliman. [PDF]

  • Full-reference quality assessment of stereopairs accounting for rivalry, Signal Processing: Image Communication, 2013, Chen, Ming-Jun, et al. [PDF]

  • Quality assessment of stereoscopic 3D image compression by binocular integration behaviors, IEEE TIP, 2014, Lin, Yu-Hsun, and Ja-Ling Wu. [PDF]

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A collection of state-of-the-art 3D image quality assessment algorithms