Color image quality metric for realistic image rendition

2007 ◽  
Author(s):  
Man-jun Xiao ◽  
Si-Ying Chen ◽  
Guo-qiang Ni
Keyword(s):  
Image Quality ◽  
Color Image ◽  
Quality Metric ◽  
Image Quality Metric ◽  
Realistic Image

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

scholarly journals NoRM: No-Reference Image Quality Metric for Realistic Image Synthesis

2012 ◽  
Vol 31 (2pt3) ◽  
pp. 545-554 ◽  
Author(s):  
Robert Herzog ◽  
Martin Čadík ◽  
Tunç O. Aydčin ◽  
Kwang In Kim ◽  
Karol Myszkowski ◽  
...  
Keyword(s):  
Image Quality ◽  
Image Synthesis ◽  
Reference Image ◽  
Quality Metric ◽  
Image Quality Metric ◽  
Realistic Image

SCID: full reference spatial color image quality metric

2009 ◽  
Author(s):  
S. Ouni ◽  
M. Chambah ◽  
M. Herbin ◽  
E. Zagrouba
Keyword(s):  
Image Quality ◽  
Color Image ◽  
Quality Metric ◽  
Full Reference ◽  
Image Quality Metric

scholarly journals Analysis of image quality metric for ROI using image restoration techniques

2014 ◽  
Vol 3 (2) ◽  
pp. 262
Author(s):  
Syed Amma Sheik
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Image Restoration ◽  
Blind Deconvolution ◽  
Color Image ◽  
Region Of Interest ◽  
Research Field ◽  
Acoustic Image ◽  
Quality Metric ◽  
Image Quality Metric

Analysis of an image plays vital role in the image processing field, which leads to the inventions of applications in the area of telemedicine, remote sensing via satellites and other spacecrafts, radar, sonar and acoustic image processing etc. This concept is a key factor in research field. One of the common image analysis is use of Region of Interest (ROI) image, which is an effortless way of analyzing images. This paper proposes a method to analyze the Image Quality Metric (IQM) for a ROI based color image. IQM is accomplished by the use of the three image restoration algorithms such as Blind deconvolution algorithm, Wiener Filtering algorithm and Lucy Richardson algorithm. Keywords: Blind Deconvolution, Lucy Richardson, Point Spread Function, Region of Interest, Image Quality Metric, Wiener Filter.

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
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