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Image quality metrics for the evaluation of print quality

Marius Pedersen, Nicolas Bonnier, Jon Y. Hardeberg, Fritz Albregtsen, Susan P. Farnand, Frans Gaykema
2011 Image Quality and System Performance VIII  
The process of applying image quality metrics to printed images is not straightforward, because image quality metrics require a digital input.  ...  One approach to bridge the gap between perceived and calculated image quality is to reduce the complexity of image quality, by breaking the overall quality into a set of quality attributes.  ...  ACKNOWLEDGEMENTS The author hereof has been enabled by Océ-Technologies B.V. to perform research activities which underlies this document. This document has been written in a personal capacity.  ... 
doi:10.1117/12.876472 fatcat:byjzi2riljbxpocjgudd2472dy

Methods of Measurement the Quality Metrics in a Printing System

L G Varepo, A Yu Brazhnikov, I V Nagornova, O A Novoselskaya
2018 Journal of Physics, Conference Series  
The realization of algorithm for estimating the quality metrics in a printing system is shown. The histograms of ink rate of various printing systems are presented.  ...  A quantitative estimation of stability of offset inks emulsifiability is given.  ...  The algorithm of each stage of quality control in the "ink-substrate" system is an integral part of the development the automated system for predicting the quality of the ink coating.  ... 
doi:10.1088/1742-6596/998/1/012040 fatcat:oqceak6u6vempj5qlnhxqcxvbi

Quality Assessment of 2.5D Prints Using 2D Image Quality Metrics

Altynay Kadyrova, Vlado Kitanovski, Marius Pedersen
2021 Applied Sciences  
Current state-of-the-art 2D full-reference image quality metrics were used to predict the quality of 2.5D prints.  ...  The results showed that the selected metrics can detect differences between the prints as well as between a print and its 2D reference image.  ...  [18] conducted a subjective experiment to identify meaningful image quality attributes for 2D color prints' QA.  ... 
doi:10.3390/app11167470 fatcat:ys2pnbqzxrck5fsoxp2ppzzs6u

Front Matter: Volume 6808

Proceedings of SPIE, Susan P. Farnand, Frans Gaykema
2008 Image Quality and System Performance V  
Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication.  ...  These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B ... 0Z, followed by 10-1Z, 20-2Z, etc. The CID number appears on each page of the manuscript.  ...  (USA) 6808 0B On estimation of perceived mottling prior to printing [6808-50] A. Sadovnikov, L. Lensu, H.  ... 
doi:10.1117/12.790443 fatcat:6f663uz6gfah7j7bux72uzpsg4

Automatic Noise Analysis on Still Life Chart

Salim Belkarfa, Ahmed Hakim Choukarah, Marcelin Tworski
2021 London Imaging Meeting  
In this paper, we tackle the issue of estimating the noise level of a camera, on its processed still images and as perceived by the user.  ...  Our method is based on a deep convolutional network trained with ground truth quality scores provided by expert annotators.  ...  Each image was viewed and rated online on a continuous quality scale by an average of 175 unique subjects with the goal of providing one MOS per each image, and not one score for each image quality attribute  ... 
doi:10.2352/issn.2694-118x.2021.lim-101 fatcat:l5uqqxkscjhzjl5iaztvunz46q

Front Matter: Volume 7529

Proceedings of SPIE, Susan P. Farnand, Frans Gaykema
2010 Image Quality and System Performance VII  
Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication.  ...  These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B ... 0Z, followed by 10-1Z, 20-2Z, etc. The CID number appears on each page of the manuscript.  ...  (Korea, Republic of) 7529 0I Reduced-reference quality metrics for measuring the image quality of digitally printed natural images [7529-18] M. Nuutinen, R.  ... 
doi:10.1117/12.856031 fatcat:cjmgudiakjdclk7lywaucshxrq

Visual experience of noise in digital images

2016 Tehnički Vjesnik  
Samples were simulated by adding six levels of noise in MATLAB software, using the built-in function. Those samples were measured with image quality IQ metrics: SCIELab, SSIM and IQM2.  ...  The results obtained in this study showed that image content influenced the perception of image noise. The image with many details was the most difficult to estimate.  ...  Acknowledgments This work was supported by the Serbian Ministry of Science and Technological Development, Grant No.: 35027 "The development of software model for improvement of knowledge and production  ... 
doi:10.17559/tv-20150317101822 fatcat:mlhfsae4gjgkzmvkjlr7jpbocy

Front Matter: Volume 7867

Proceedings of SPIE, Susan P. Farnand, Frans Gaykema
2011 Image Quality and System Performance VIII  
Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication.  ...  These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B ... 0Z, followed by 10-1Z, 20-2Z, etc. The CID number appears on each page of the manuscript.  ...  QUALITY IN PRINT 7867 02 Image quality metrics for the evaluation of print quality [7867-01] M.  ... 
doi:10.1117/12.888994 fatcat:cqy2g6xs3fdnznnjouroussskq

Objective Print Quality Analysis and The Portable Personal IAS® Image Analysis System

John C. BRIGGS, Ming-Kai TSE
2005 NIHON GAZO GAKKAISHI (Journal of the Imaging Society of Japan)  
The growing recognition of the importance of such " non-color and density"attributes has been partly driven by the introduction of many digital printing processes that exacerbate such print quality ( PQ  ...  While color and density have been synonymous with print quality for a long time,the importance of other print quality attributes such as sharpness and details,and printing artifacts such as bleed, edge  ...  Often,this is done by breaking print quality(PQ) down into a number of relevant and quantifi able PQ attributes and their corresponding PQ metrics.  ... 
doi:10.11370/isj.44.505 fatcat:uc2dcvxnavaw3ckwofjlxcqyme

Edge-raggedness evaluation using slanted-edge analysis

Peter D. Burns, Luke C. Cui, Yoichi Miyake
2006 Image Quality and System Performance III  
ISO-13660, -19751) attribute of printed text and graphics is edge raggedness.  ...  There are various metrics aimed at the evaluation of the discontinuous imaging of nominally continuous features, but they generally rely on an estimation of the spatial deviation of edge or line boundaries  ...  There are various metrics aimed at the evaluation of the discontinuous imaging of nominally continuous features, but they all generally rely on an estimation of the spatial deviation of edge or line boundaries  ... 
doi:10.1117/12.649271 fatcat:ocksgcvlqvd4banrmrnzcrsuoe

A universal color image quality metric

Alexander Toet, Marcel P. Lucassen, Zia-ur Rahman, Robert A. Schowengerdt, Stephen E. Reichenbach
2003 Visual Information Processing XII  
We evaluated the new color image quality metric through observer experiments in which subjects ranked images according to perceived distortion.  ...  The resulting color image quality index quantifies the distortion of a processed color image relative to its original version.  ...  image quality metric.  ... 
doi:10.1117/12.484836 dblp:conf/spieVIP/ToetL03 fatcat:v5jhcuudwjbdli6axeaq7bzxxm

The influence of printing substrate on macro non-uniformity and line reproduction quality of imprints printed with electrophotographic process

Đorđe Vujčić, Branka Ružičić
2016 Journal of Graphic Engineering and Design  
Print quality is very important for every printing technique. It depends on many different quality attributes.  ...  This research included analysis of macro non-uniformities and line reproduction. 16 different paper substrates printed by electrophotographic process were analyzed.  ...  The method of digitally analyzed scanned printed images in specified softwares was used for estimation of these quality attributes.  ... 
doi:10.24867/jged-2016-2-031 fatcat:n242bvpz2be6jbw7mgqlxsqwoi

Measuring Content Quality In A Preservation Repository: Hathitrust And Large-Scale Book Digitization

Paul Conway
2010 International Conference on Digital Preservation  
of books from university libraries digitized by Google, Internet Archive, and others and then deposited for preservation.  ...  The design includes a model of understanding and recording errors observed through manual inspection of sample volumes, and strategies to validate the outcomes of the research through open evaluation by  ...  ACKNOWEDGEMENTS Planning support has been provided by the Andrew W. Mellon Foundation.  ... 
dblp:conf/ipres/Conway10 fatcat:fqyoe6gg7jaaflinfmgu5j75iu

Synthesized Texture Quality Assessment via Multi-scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients [article]

S. Alireza Golestaneh, Lina Karam
2018 arXiv   pre-print
The proposed reduced-reference synthesized texture quality assessment metric is based on measuring the spatial and statistical attributes of the texture image using both image- and gradient-based wavelet  ...  metrics in predicting the perceived visual quality of the synthesized textures.  ...  The extracted RR features are later used with the distorted image (e.g., synthesized texture) to estimate quality.  ... 
arXiv:1804.08020v2 fatcat:sdg4kkuqfzgadpfnpkyf74jdwm

Synthesized Texture Quality Assessment via Multi-scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients

S. Alireza Golestaneh, Lina J. Karam
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
The proposed reduced-reference synthesized texture quality assessment metric is based on measuring the spatial and statistical attributes of the texture image using both image-and gradient-based wavelet  ...  metrics in predicting the perceived visual quality of the synthesized textures 1 .  ...  The extracted RR features are later used with the distorted image (e.g., synthesized texture) to estimate quality.  ... 
doi:10.1109/cvprw.2018.00117 dblp:conf/cvpr/GolestanehK18 fatcat:owt3hm2vszfrrbewurb6vbjktm
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