• Corpus ID: 29123652

TID2008 – A database for evaluation of full-reference visual quality assessment metrics

  title={TID2008 – A database for evaluation of full-reference visual quality assessment metrics},
  author={Nikolay N. Ponomarenko and Vladimir V. Lukin and Alexander A. Zelensky},
In this paper, a new image database, TID2008, for evaluation of full-reference visual quality assessment metrics is described. It contains 1700 test images (25 reference images, 17 types of distortions for each reference image, 4 different levels of each type of distortion). Mean Opinion Scores (MOS) for this database have been obtained as a result of more than 800 experiments. During these tests, observers from three countries (Finland, Italy, and Ukraine) have carried out about 256000… 

Image database TID 2013 : Peculiarities , results and perspectives

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Image database TID2013: Peculiarities, results and perspectives

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MDID: A multiply distorted image database for image quality assessment

Combining full-reference image visual quality metrics by neural network

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CID2013: A Database for Evaluating No-Reference Image Quality Assessment Algorithms

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Full-Reference Image Quality Metrics Performance Evaluation Over Image Quality Databases

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Image information and visual quality

  • H. SheikhA. Bovik
  • Computer Science
    2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
  • 2004
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A universal image quality index

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Psycho-visual quality assessment of state-of-the-art denoising schemes

The quality of 7 state-of-the-art denoising schemes based on human visual perception are compared and attributes such as the noisiness, bluriness and artefacts present in the denoised images allowed to determine why people choose one filter over the other.

Evaluation of contrast sensitivity functions for the formulation of quality measures incorporated in halftoning algorithms

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