Using deep perceptual embeddings as a quality metric for synthetic imagery

2021 ◽  
Author(s):  
William Luer ◽  
Joshua D. Harguess
Keyword(s):  
Quality Metric

How re-training process affect the performance of no-reference image quality metric for face images

2019 ◽  
Vol 2019 (5) ◽  
pp. 528-1-528-6
Author(s):  
Xinwei Liu ◽  
Christophe Charrier ◽  
Marius Pedersen ◽  
Patrick Bours
Keyword(s):  
Image Quality ◽  
Reference Image ◽  
Training Process ◽  
Quality Metric ◽  
Face Images ◽  
Image Quality Metric

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 Impact of rejection of low-quality wound swabs on antimicrobial prescribing: A controlled before-after study

2020 ◽  
Author(s):  
Xavier Marchand-Senécal ◽  
Ian A Brasg ◽  
Robert Kozak ◽  
Marion Elligsen ◽  
Christie Vermeiren ◽  
...  
Keyword(s):  
Susceptibility Testing ◽  
Quality Metric ◽  
Antimicrobial Prescribing ◽  
Culture Identification

Abstract In this controlled before-after study, wound swabs were only processed for culture, identification and susceptibility testing if a quality metric, determined by the Q score, was met. Rejection of low-quality wound swabs resulted in a modest decrease in reflexive antibiotic initiation while reducing laboratory workload and generating few clinician requests.

scholarly journals The CarboEurope Regional Experiment Strategy

2006 ◽  
Vol 87 (10) ◽  
pp. 1367-1380 ◽  
Author(s):  
A. J. Dolman ◽  
J. Noilhan ◽  
P. Durand ◽  
C. Sarrat ◽  
A. Brut ◽  
...  
Keyword(s):  
Land Surface ◽  
Major Product ◽  
State Variables ◽  
Land Surface Models ◽  
Quality Metric ◽  
Key Characteristics ◽  
Surface Models ◽  
Global Soil ◽  
Standard Deviations ◽  
Model Agreement

The Second Global Soil Wetness Project (GSWP-2) is an initiative to compare and evaluate 10-year simulations by a broad range of land surface models under controlled conditions. A major product of GSWP-2 is the first global gridded multimodel analysis of land surface state variables and fluxes for use by meteorologists, hydrologists, engineers, biogeochemists, agronomists, botanists, ecologists, geographers, climatologists, and educators. Simulations by 13 land models from five nations have gone into production of the analysis. The models are driven by forcing data derived from a combination of gridded atmospheric reanalyses and observations. The resulting analysis consists of multimodel means and standard deviations on the monthly time scale, including profiles of soil moisture and temperature at six levels, as well as daily and climatological (mean annual cycle) fields for over 50 land surface variables. The monthly standard deviations provide a measure of model agreement that may be used as a quality metric. An overview of key characteristics of the analysis is presented here, along with information on obtaining the data.

scholarly journals A quality metric for IDS signatures: in the wild the size matters

2013 ◽  
Vol 2013 (1) ◽  
Author(s):  
Elias Raftopoulos ◽  
Xenofontas Dimitropoulos
Keyword(s):  
Quality Metric ◽  
In The Wild

scholarly journals A universal color image quality metric

2003 ◽  
Author(s):  
Alexander Toet ◽  
Marcel P. Lucassen
Keyword(s):  
Image Quality ◽  
Color Image ◽  
Quality Metric ◽  
Image Quality Metric
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