Visual perceptual quality assessment based on blind machine learning techniques

HIGHLIGHTS

• who: Ghislain Takam Tchendjou and Emmanuel Simeu from the UnivGrenoble Alpes, CNRS, Grenoble INP (Institute of Engineering UnivGrenoble Alpes), TIMA, Grenoble, France have published the research: Visual Perceptual Quality Assessment Based on Blind Machine Learning Techniques, in the Journal: Sensors 2022, 22, 175. of 28/Dec/2021
• what: The features extracted from the image file are used as the input of machine learning techniques to build the models that are used to estimate the visual quality level of any image. The process the authors propose for designing the evaluation of perceived no-reference image_quality models . . .
  

   

  

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