Objective Video Quality Method Based on Mutual Information and Human Visual System

2012 ◽  
Vol 58 (2) ◽  
pp. 147-152
Author(s):  
Michal Mardiak ◽  
Jaroslav Polec
Keyword(s):  
Mutual Information ◽  
Visual System ◽  
Human Visual System ◽  
Quality Evaluation ◽  
Video Quality ◽  
Evaluation Criteria ◽  
Test Sequence ◽  
Quality Metric ◽  
Two Stages ◽  
Video Quality Metric

Objective Video Quality Method Based on Mutual Information and Human Visual SystemIn this paper we present the objective video quality metric based on mutual information and Human Visual System. The calculation of proposed metric consists of two stages. In the first stage of quality evaluation whole original and test sequence are pre-processed by the Human Visual System. In the second stage we calculate mutual information which has been utilized as the quality evaluation criteria. The mutual information was calculated between the frame from original sequence and the corresponding frame from test sequence. For this testing purpose we choose Foreman video at CIF resolution. To prove reliability of our metric were compared it with some commonly used objective methods for measuring the video quality. The results show that presented objective video quality metric based on mutual information and Human Visual System provides relevant results in comparison with results of other objective methods so it is suitable candidate for measuring the video quality.

scholarly journals Stereoscopic 3DTV Video Quality Metric: the Compressed Average Image Intensity

2018 ◽  
Vol 2 ◽  
pp. 8-14
Author(s):  
Grzegorz Wilczewski
Keyword(s):  
Quality Evaluation ◽  
Video Quality ◽  
Content Delivery ◽  
Stereoscopic Video ◽  
Evaluation Tool ◽  
Image Intensity ◽  
Quality Metric ◽  
Advanced Analysis ◽  
Video Quality Metric ◽  
Average Image

This paper presents a newly designed stereoscopic video quality metric. Overall insights towards the creation of mechanisms utilized within the genuine metric are presented herein. Delivery of the core information and motivation behind the features implemented, as well as functionality of the Compressed Average Image Intensity (CAII) quality metric are of utmost importance. The mechanisms created might be characterized as an objective, reliable and versatile quality evaluation tool for advanced analysis of the content delivery chain within stereoscopic video services.

scholarly journals Vers une métrique de description objective d'une sensation subjective

2009 ◽  
Vol Volume 11, 2009 - Special... ◽  
Author(s):  
Sonia Ouni ◽  
Ezzeddine Zagrouba ◽  
Majeb Chambah ◽  
Michel Herbin
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Video Quality ◽  
Perceptual Quality ◽  
Quality Metric ◽  
Global Quality ◽  
Reference Quality ◽  
International Audience ◽  
System Properties ◽  
Système Visuel

International audience In the last decade, several image and video quality metrics have been proposed, which incorporate perceptual quality measures by considering the HVS characteristics. All this metrics do the differences pixel to pixel in image. Therefore a local fidelity of the colour is defined. However, the human visual system is rather sensitive to a global quality. In this paper, we propose a new objective full reference quality metric for colour images called Global Delta E and noted: ~ G DE . This metric is based on human visual system properties in order to obtain the best correspondence with judgments. Some experimentations and assessments prove the performance of our metrics and that interrelationship with the SVH. L'étude du système visuel Humain (SVH) est primordiale pour quantifier la qualité d'une image. Plusieurs travaux ont proposé des métriques de différences de couleurs qui effectuent des différences locales pixel par pixel. Par contre, le système visuel humain est plutôt sensible à une qualité globale. Dans cet article, nous proposons une nouvelle métrique objective de différence couleur basée sur les caractéristiques du système visuel humain. La métrique proposé est appelée Delta E Globale notée : ~ DEG . Quelques expérimentations et évaluations montrent la performance de cette métrique et sa corrélation avec la vision du SVH.

Objective video quality metric based on data hiding

2005 ◽  
Vol 51 (3) ◽  
pp. 983-992 ◽  
Author(s):  
M.C.Q. Farias ◽  
M. Carli ◽  
S.K. Mitra
Keyword(s):  
Data Hiding ◽  
Video Quality ◽  
Quality Metric ◽  
Video Quality Metric
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