Relevant bibliographies by topics / No Reference Quality Assessment

Academic literature on the topic 'No Reference Quality Assessment'

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Published: 14 March 2023

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Journal articles on the topic "No Reference Quality Assessment"

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Li, Teng, Xiongkuo Min, Wenhan Zhu, Yiling Xu, and Wenjun Zhang. "No-reference screen content video quality assessment." Displays 69 (September 2021): 102030. http://dx.doi.org/10.1016/j.displa.2021.102030.

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Li, Leida, Wei Shen, Ke Gu, Jinjian Wu, Beijing Chen, and Jianying Zhang. "No-reference quality assessment of enhanced images." China Communications 13, no. 9 (September 2016): 121–30. http://dx.doi.org/10.1109/cc.2016.7582304.

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Favorskaya, Margarita, and Alexander Proskurin. "No-reference quality assessment of blurred frames." Procedia Computer Science 126 (2018): 917–26. http://dx.doi.org/10.1016/j.procs.2018.08.026.

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Li, Leida, Yu Zhou, Weisi Lin, Jinjian Wu, Xinfeng Zhang, and Beijing Chen. "No-reference quality assessment of deblocked images." Neurocomputing 177 (February 2016): 572–84. http://dx.doi.org/10.1016/j.neucom.2015.11.063.

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Wang, Zhou, and Alan Bovik. "Reduced- and No-Reference Image Quality Assessment." IEEE Signal Processing Magazine 28, no. 6 (November 2011): 29–40. http://dx.doi.org/10.1109/msp.2011.942471.

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Chen, Ming-Jun, Lawrence K. Cormack, and Alan C. Bovik. "No-Reference Quality Assessment of Natural Stereopairs." IEEE Transactions on Image Processing 22, no. 9 (September 2013): 3379–91. http://dx.doi.org/10.1109/tip.2013.2267393.

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Torres Vega, Maria, Decebal Constantin Mocanu, Stavros Stavrou, and Antonio Liotta. "Predictive no-reference assessment of video quality." Signal Processing: Image Communication 52 (March 2017): 20–32. http://dx.doi.org/10.1016/j.image.2016.12.001.

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Xiang, Tao, Hongfei Xiao, and Xue Qin. "Quality-distinguishing and patch-comparing no-reference image quality assessment." Multimedia Tools and Applications 80, no. 13 (March 1, 2021): 19601–24. http://dx.doi.org/10.1007/s11042-021-10577-w.

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Zhang, Lin, Zhongyi Gu, Xiaoxu Liu, Hongyu Li, and Jianwei Lu. "Training Quality-Aware Filters for No-Reference Image Quality Assessment." IEEE MultiMedia 21, no. 4 (October 2014): 67–75. http://dx.doi.org/10.1109/mmul.2014.50.

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Scarpa, Giuseppe, and Matteo Ciotola. "Full-Resolution Quality Assessment for Pansharpening." Remote Sensing 14, no. 8 (April 8, 2022): 1808. http://dx.doi.org/10.3390/rs14081808.

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A reliable quality assessment procedure for pansharpening methods is of critical importance for the development of the related solutions. Unfortunately, the lack of ground truths to be used as guidance for an objective evaluation has pushed the community to resort to two approaches, which can also be jointly applied. Hence, two kinds of indexes can be found in the literature: (i) reference-based reduced-resolution indexes aimed to assess the synthesis ability; (ii) no-reference subjective quality indexes for full-resolution datasets aimed to assess spectral and spatial consistency. Both reference-based and no-reference indexes present critical shortcomings, which motivate the community to explore new solutions. In this work, we propose an alternative no-reference full-resolution assessment framework. On one side, we introduce a protocol, namely the reprojection protocol, to take care of the spectral consistency issue. On the other side, a new index of the spatial consistency between the pansharpened image and the panchromatic band at full resolution is also proposed. Experimental results carried out on different datasets/sensors demonstrate the effectiveness of the proposed approach.
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Dissertations / Theses on the topic "No Reference Quality Assessment"

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Cheng, Wu. "Corrupted Image Quality Assessment." University of Dayton / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335969249.

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Burkhart, Joshua. "A Method for Reference-Free Genome Assembly Quality Assessment." Thesis, University of Oregon, 2013. http://hdl.handle.net/1794/13338.

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How to assess the quality of a genome assembly without the help of a reference sequence is an open question. Only a few techniques are currently used in the literature and each has obvious bias. An additional method, restriction enzyme associated DNA (RAD) marker alignment, is proposed here. With high enough density, this method should be able to assess the quality of de novo assemblies without the biases of current methods. With the growing ambition to sequence new genomes and the accelerating ability to do so cost effectively, methods to assess the quality of reference-free genome assemblies will become increasingly important. In addition to the existing methods of EST and conserved sequence alignment, RAD marker alignment may contribute to this effort.
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Zhu, Kongfeng [Verfasser]. "No-reference Video Quality Assessment and Applications / Kongfeng Zhu." Konstanz : Bibliothek der Universität Konstanz, 2014. http://d-nb.info/1058326015/34.

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Zhang, Chen. "Blind Full Reference Quality Assessment of Poisson Image Denoising." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1398875743.

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Alaql, Omar abdulrahman. "GENERAL PURPOSE APPROACHES FOR NO-REFERENCE IMAGE QUALITY ASSESSMENT." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1495821893652963.

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CORCHS, SILVIA ELENA. "Image quality assessment for Digital documents." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/50461.

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This thesis focuses on No Reference (NR) methods for Image Quality Assessment (IQA). A review of the IQA field is presented in Chapter 2; where the different IQA methods are described and classified. In particular, the application of IQA methods within a workflow chain is discussed. In Chapter 3 we focus on NR metrics for JPEG-blockiness and noise artifacts. It is in general assumed that subjective methods produce an actual estimate of the perceived quality while objective methods produce values that should be correlated with human perceptions as best as possible. From the analysis of the regression curves that correlate objective and subjective data we have found that in some cases the metric's predictions are not in correspondence with the subjective scores. After reviewing the available databases, we realize that the distortion ranges considered are not in general representative of real case applications. Therefore, in Chapter 4 the Imaging and Vision Lab (IVL) database is introduced. It was generated with the aim of assessing the quality of images corrupted by JPEG and noise. In Chapter 5 we approach the NR-IQA field by focusing on a classification problem. A framework based on machine learning classification is proposed that let us evaluate how images can be classified within different groups or classes, according to their quality. NR metrics are considered as features and the assigned classes are obtained from the psychovisual data. For the JPEG distortion case, the feature space of the classifiers is built using each NR metric as single feature and also a pool of eleven NR metrics. Classification within five and three classes was addressed. In the former case, the five classes are in correspondence to the five categories recommended by the ITU (excellent, good, fair, poor, and bad) when designing image quality experiments. In the latter case we were interested in classifying images as high, medium or low quality ones. The classifiers are trained and tested on different databases. The classifier obtained using the pool of metrics outperforms each single metric classifier. Better performance is obtained in the case of three classes. Considering an image as the combining of two signals, content and distortion, we note that the crosstalk between both signals influences both subjective and objective quality assessment. We address this problem in Chapter 6 where our working hypothesis is that regression can be improved if performed within a group of images that present similar contents in terms of low level features. The criteria chosen to divide the images in different groups is the image complexity. The proposed strategy consists on two steps: the images (of a given database) are first classified in three groups of low, medium and high complexity. In a second step, regression is performed within each of these groups separately. The strategy is tested for different NR metrics for JPEG-blockiness and noise artifacts, different databases are considered. Correlation coefficients are computed and statistical significance tests are applied. The gain in performance depends on the metric and distortion considered. Summarizing, the two main proposals of this research work, i.e. the classification approach that combines several NR metrics and the grouping strategy, are able to outperform the correlation between subjective and objective data for the case of JPEG-blockiness. Both strategies can be extended to consider other type of distortions.
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Shahid, Muhammad. "Methods for Objective and Subjective Video Quality Assessment and for Speech Enhancement." Doctoral thesis, Blekinge Tekniska Högskola [bth.se], Faculty of Engineering - Department of Applied Signal Processing, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00603.

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The overwhelming trend of the usage of multimedia services has raised the consumers' awareness about quality. Both service providers and consumers are interested in the delivered level of perceptual quality. The perceptual quality of an original video signal can get degraded due to compression and due to its transmission over a lossy network. Video quality assessment (VQA) has to be performed in order to gauge the level of video quality. Generally, it can be performed by following subjective methods, where a panel of humans judges the quality of video, or by using objective methods, where a computational model yields an estimate of the quality. Objective methods and specifically No-Reference (NR) or Reduced-Reference (RR) methods are preferable because they are practical for implementation in real-time scenarios. This doctoral thesis begins with a review of existing approaches proposed in the area of NR image and video quality assessment. In the review, recently proposed methods of visual quality assessment are classified into three categories. This is followed by the chapters related to the description of studies on the development of NR and RR methods as well as on conducting subjective experiments of VQA. In the case of NR methods, the required features are extracted from the coded bitstream of a video, and in the case of RR methods additional pixel-based information is used. Specifically, NR methods are developed with the help of suitable techniques of regression using artificial neural networks and least-squares support vector machines. Subsequently, in a later study, linear regression techniques are used to elaborate the interpretability of NR and RR models with respect to the selection of perceptually significant features. The presented studies on subjective experiments are performed using laboratory based and crowdsourcing platforms. In the laboratory based experiments, the focus has been on using standardized methods in order to generate datasets that can be used to validate objective methods of VQA. The subjective experiments performed through crowdsourcing relate to the investigation of non-standard methods in order to determine perceptual preference of various adaptation scenarios in the context of adaptive streaming of high-definition videos. Lastly, the use of adaptive gain equalizer in the modulation frequency domain for speech enhancement has been examined. To this end, two methods of demodulating speech signals namely spectral center of gravity carrier estimation and convex optimization have been studied.
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MARINI, FABRIZIO. "Content based no-reference image quality metrics." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2012. http://hdl.handle.net/10281/29794.

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Images are playing a more and more important role in sharing, expressing, mining and exchanging information in our daily lives. Now we can all easily capture and share images anywhere and anytime. Since digital images are subject to a wide variety of distortions during acquisition, processing, compression, storage, transmission and reproduction; it becomes necessary to assess the Image Quality. In this thesis, starting from an organized overview of available Image Quality Assessment methods, some original contributions in the framework of No-reference image quality metrics are described.
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Hettiarachchi, Don Lahiru Nirmal Manikka. "An Accelerated General Purpose No-Reference Image Quality Assessment Metric and an Image Fusion Technique." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1470048998.

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Ansari, Yousuf Hameed, and Sohaib Ahmed Siddiqui. "Quality Assessment for HEVC Encoded Videos: Study of Transmission and Encoding Errors." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13656.

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There is a demand for video quality measurements in modern video applications specifically in wireless and mobile communication. In real time video streaming it is experienced that the quality of video becomes low due to different factors such as encoder and transmission errors. HEVC/H.265 is considered as one of the promising codecs for compression of ultra-high definition videos. In this research, full reference based video quality assessment is performed. The raw format reference videos have been taken from Texas database to make test videos data set. The videos are encoded using HM9 reference software in HEVC format. Encoding errors has been set during the encoding process by adjusting the QP values. To introduce packet loss in the video, the real-time environment has been created. Videos are sent from one system to another system over UDP protocol in NETCAT software. Packet loss is induced with different packet loss ratios into the video using NETEM software. After the compilation of video data set, to assess the video quality two kind of analysis has been performed on them. Subjective analysis has been carried on different human subjects. Objective analysis has been achieved by applying five quality matrices PSNR, SSIM, UIQI, VFI and VSNR. The comparison is conducted on the objective measurement scores with the subjective and in the end results deduce from classical correlation methods.
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Books on the topic "No Reference Quality Assessment"

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Process assessment and ISO/IEC 15504: A reference book. New York: Springer, 2004.

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Conference, Proceedings Pakistan Economy (2007 Islamabad Pakistan). Conference Proceedings Pakistan Economy: An assessment with special reference to qaulity of life. Islamabad: Institute of Policy Studies, 2007.

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Caskey, B. J. Identifying nutrient reference sites in nutrient-enriched regions: Using algal, invertebrate, and fish-community measures to identify stressor-breakpoint thresholds in Indiana rivers and streams, 2005-2009. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2013.

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J, Chatman Ilese, and Joint Commission Resources Inc, eds. Tools for performance measurement in health care: A quick reference guide. 2nd ed. Oakbrook Terrace, Ill: Joint Commission Resources, 2008.

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Spindler, Patti. Macroinvertebrate community distribution among reference sites in Arizona: Final report. [Phoenix, Ariz.]: Hydrologic Support and Assessment Section, Water Quality Division, Arizona Dept. of Environmental Quality, 2001.

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Kmet, Leanne Marie. Standard quality assessment criteria for evaluating primary research papers from a variety of fields. Edmonton, Alta: Alberta Heritage Foundation for Medical Research, 2004.

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Maude, Stephen H. Benthic macroinvertebrate communities and water quality of headwater streams of the Oak Ridges Moraine: Reference conditions, report. [Toronto, Ont.]: Central Region, Ontario Ministry of Environment and Energy, 1996.

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Federal-Provincial Working Group on Air Quality Objectives and Guidelines. A protocol for the development of national ambient air quality objectives: Part 1 : science assessment document and derivation of the reference level(s). Ottawa, Ont: Environment Canada, 1996.

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Spindler, Patti. Using ecoregions for explaining macroinvertebrate community distribution among reference sites in Arizona, 1992: Final report. [Phoenix, AZ]: Hydrologic Support and Assessment Section, Water Quality Division, Arizona Dept. of Environmental Quality, 1996.

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1951-, Norris Richard H., and Reynoldson Trefor B, eds. Bioassessment of freshwater ecosystems: Using the reference condition approach. Boston: Kluwer Academic, 2004.

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Book chapters on the topic "No Reference Quality Assessment"

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Wang, Zhou, and Alan C. Bovik. "No-Reference Image Quality Assessment." In Modern Image Quality Assessment, 79–102. Cham: Springer International Publishing, 2006. http://dx.doi.org/10.1007/978-3-031-02238-8_4.

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Wang, Zhou, and Alan C. Bovik. "Reduced-Reference Image Quality Assessment." In Modern Image Quality Assessment, 103–20. Cham: Springer International Publishing, 2006. http://dx.doi.org/10.1007/978-3-031-02238-8_5.

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Wang, Zhou, and Alan C. Bovik. "Top-Down Approaches for Full-Reference Image Quality Assessment." In Modern Image Quality Assessment, 41–77. Cham: Springer International Publishing, 2006. http://dx.doi.org/10.1007/978-3-031-02238-8_3.

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Wang, Zhou, and Alan C. Bovik. "Bottom-Up Approaches for Full-Reference Image Quality Assessment." In Modern Image Quality Assessment, 17–40. Cham: Springer International Publishing, 2006. http://dx.doi.org/10.1007/978-3-031-02238-8_2.

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Bigand, André, Julien Dehos, Christophe Renaud, and Joseph Constantin. "Reduced-Reference Methods." In Image Quality Assessment of Computer-generated Images, 49–70. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73543-6_5.

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Lu, Si. "No-reference Image Denoising Quality Assessment." In Advances in Intelligent Systems and Computing, 416–33. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17795-9_31.

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Tiwari, Kamlesh, and Phalguni Gupta. "No-Reference Fingerprint Image Quality Assessment." In Intelligent Computing Methodologies, 846–54. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09339-0_85.

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Cui, Zhaoxiong, and Tingting Jiang. "No-Reference Video Shakiness Quality Assessment." In Computer Vision – ACCV 2016, 396–411. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54193-8_25.

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Phadikar, Baisakhi Sur, Goutam Kumar Maity, and Amit Phadikar. "Full Reference Image Quality Assessment: A Survey." In Lecture Notes in Networks and Systems, 197–208. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3953-9_19.

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Das, Dibyasundar, and Ajit Kumar Nayak. "Investigation of Full-Reference Image Quality Assessment." In Advances in Intelligent Systems and Computing, 449–56. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2009-1_50.

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Conference papers on the topic "No Reference Quality Assessment"

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Cheng, Wu, and Keigo Hirakawa. "Corrupted reference image quality assessment." In 2012 19th IEEE International Conference on Image Processing (ICIP 2012). IEEE, 2012. http://dx.doi.org/10.1109/icip.2012.6467152.

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Mandgaonkar, Vrushali S., and Charudatta V. Kulkarni. "No reference image quality assessment." In 2014 Annual IEEE India Conference (INDICON). IEEE, 2014. http://dx.doi.org/10.1109/indicon.2014.7030678.

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Chetouani, Aladine. "Full Reference Image Quality Assessment: Limitation." In 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE, 2014. http://dx.doi.org/10.1109/icpr.2014.153.

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Kemalkar, A. K., and V. K. Bairagi. "A no-reference image quality assessment." In 2013 International Conference on Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN). IEEE, 2013. http://dx.doi.org/10.1109/ice-ccn.2013.6528543.

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Serir, Amina. "No-reference blurred image quality assessment." In 2011 3rd European Workshop on Visual Information Processing (EUVIP). IEEE, 2011. http://dx.doi.org/10.1109/euvip.2011.6045515.

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Chamaret, Christel, and Fabrice Urban. "No-reference Harmony-Guided Quality Assessment." In 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2013. http://dx.doi.org/10.1109/cvprw.2013.161.

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Akhter, Roushain, Z. M. Parvez Sazzad, Y. Horita, and J. Baltes. "No-reference stereoscopic image quality assessment." In IS&T/SPIE Electronic Imaging, edited by Andrew J. Woods, Nicolas S. Holliman, and Neil A. Dodgson. SPIE, 2010. http://dx.doi.org/10.1117/12.838775.

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Carnec, M., P. Le Callet, and D. Barba. "Full reference and reduced reference metrics for image quality assessment." In Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isspa.2003.1224743.

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Wu, Zhenyu, and Hong Hu. "Reconstruction-based no-reference video quality assessment." In TENCON 2016 - 2016 IEEE Region 10 Conference. IEEE, 2016. http://dx.doi.org/10.1109/tencon.2016.7848613.

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Ren, Tongwei, Yan Liu, and Gangshan Wu. "Full-Reference Quality Assessment for Video Summary." In 2008 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2008. http://dx.doi.org/10.1109/icdmw.2008.55.

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Reports on the topic "No Reference Quality Assessment"

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Савченко, Лариса Олексіївна. Characteristic of the future specialists professional preparation to the quality educational assessment. Педагогічна думка, 2015. http://dx.doi.org/10.31812/0564/365.

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To consider the characteristics of the levels of formation of professional readiness of future specialists to pedagogical diagnostics of quality of education. Diagnostics of levels of formation of professional training of future teachers is realized through a number of research methods: observation, testing, interview, analysis of the results. The basis of the diagnostic systems research on three-level assessment scale, supplemented by «high level», which allows to adapt to local conditions and to enrich the features of a particular region. Analysis of modern works on the organization of control of educational achievements of students; the log books of progress and attendance of students in classes, conversations with teachers and our own observations have proved that in educational practice there are different models of the organization of control of educational achievements of students in pedagogical disciplines and professional subject training, validation should be carried out using various schemes and scales of evaluation present different approaches to the calculation of rating of students (in some cases even within the same University) and others. The analysis proved that the existing complex control tasks and tasks for independent work is only seventy percent of jobs differentiated by professional orientation, the rest of the job for the overall development of pedagogical competence of students. In our opinion, well developed task, that is, those that consist mainly of problems of professional and pedagogical orientation that enhance future teachers ‘ motivation to learn pedagogical disciplines. The quality of education becomes the main reference point that determines the credibility and competitiveness of educational institutions on regional, national level and international arena.
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Sparrow, Kent, and Sandra LeGrand. Establishing a series of dust event case studies for North Africa. Engineer Research and Development Center (U.S.), February 2023. http://dx.doi.org/10.21079/11681/46445.

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Dust aerosols often create hazardous air quality conditions that affect human health, visibility, agriculture, and communication in various parts of the world. While substantial progress has been made in dust-event simulation and hazard mitigation over the last several decades, accurately forecasting the spatial and temporal variability of dust emissions continues to be a challenge. This report documents an analysis of atmospheric conditions for a series of dust events in North Africa. The researchers highlight four analyzed events that occurred between January 2016 to present in the following locations: (1) the western Sahara Desert; (2) East Algeria and the Iberian Peninsula; (3) Chad-Bodélé Depression; (4) Algeria and Morocco. For each event, the researchers developed an overview of the general synoptic, mesoscale, and local environmental forcing conditions that controlled the event evolution and used a combination of available lidar data, surface weather observations, upper-air soundings, aerosol optical depth, and satellite imagery to characterize the dust conditions. These assessments will support downstream forecast model evaluation and sensitivity testing; however, the researchers also encourage broader use of these assessments as reference case studies for dust transport, air quality modeling, remote sensing, soil erosion, and land management research applications.
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Kane, J. S. Quality control and reference sample databases. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/193261.

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Johnson, W. M. Use of geochemical reference standards in a quality control/quality assurance program. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/193259.

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Ichinose, G. Waveform Data Quality Assessment. Office of Scientific and Technical Information (OSTI), April 2022. http://dx.doi.org/10.2172/1863669.

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Pegues, Jonathan, Nima Shamsaei, and Patricio Carrion. Rapid Quality Assessment in Additive Manufacturing: New Procedure Accelerates Build Quality Assessment . Office of Scientific and Technical Information (OSTI), July 2021. http://dx.doi.org/10.2172/1817320.

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Hutton, Eric, and John Whalley. Reference Point Dependence for Specification Bias from Quality Upgrading. Cambridge, MA: National Bureau of Economic Research, August 1994. http://dx.doi.org/10.3386/w4816.

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Rada, Maria Patricia, Alexandra Caseriu, Roxana Crainic, and Stergios K. Doumouchtsis. A critical appraisal and systematic review of clinical practice guidelines on hormone replacement therapy for menopause: assessment using the Appraisal of Guidelines for Research and Evaluation (AGREE II) Instrument. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0089.

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Review question / Objective: To assess the quality of clinical practice guidelines (CPC) on hormone replacement therapy for menopause using the AGREE II instrument and to provide a summary of recommendations. Information sources: Literature searches using MEDLINE, Embase, Scopus, Geneva Foundation for Medical Education and Research from inception to date will be searched. The search terms include guidelines / guidance / recommendation and hormone replacement therapy related keywords and MeSH terms. National and international organizations websites will be searched individually. Additional searches on the references of the primary included items may help identify any guidelines missed on the primary searches. In the case of more than one published guideline from the same national or international association, only the latest version of the guidelines will be included and evaluated. Any disagreements on inclusion criteria will be addressed through discussion and consensus meeting within the research team. Guidelines published in languages other than English will be considered on an individual basis. Guidelines must be publicly available on a website or in a peer-reviewed publication.
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Author, Not Given. North Alabama water quality assessment. Office of Scientific and Technical Information (OSTI), September 1987. http://dx.doi.org/10.2172/5032666.

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Pullin, B. P. North Alabama water quality assessment. Office of Scientific and Technical Information (OSTI), March 1988. http://dx.doi.org/10.2172/5038651.

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