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Books on the topic 'Assessment of image'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

Bigand, André, Julien Dehos, Christophe Renaud, and Joseph Constantin. Image Quality Assessment of Computer-generated Images. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73543-6.

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2

Wang, Zhou, and Alan C. Bovik. Modern Image Quality Assessment. Springer International Publishing, 2006. http://dx.doi.org/10.1007/978-3-031-02238-8.

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3

Ding, Yong, and Guangming Sun. Stereoscopic Image Quality Assessment. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7764-2.

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4

Tarkowski, Zbigniew. Assessment and self-assessment of stuttering and self-image. University of Marmia and Mazury, 2010.

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5

Szapiel, Stanisław. Diffraction-based image assessment in optical design. Wydawn. Politechniki Warszawskiej, 1986.

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6

International Commission on Radiation Units and Measurements., ed. Medical imaging--the assessment of image quality. International Commission on Radiation Units and Measurements, 1995.

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7

Ding, Yong. Visual Quality Assessment for Natural and Medical Image. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-56497-4.

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8

Centre national d'études spatiales (France)., ed. Spot 1, utilisation des images, bilan, résultats =: Spot 1, image utilization, assessment, results. CEPADUES-Editions, 1988.

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9

United States. National Telecommunications and Information Administration, ed. Features for automated quality assessment of digitally transmitted video. U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1990.

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10

Zhu, Shu-Yu. Perceptual wavelet coding and quality assessment for still image. National Library of Canada, 2000.

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11

1962-, Blanc-Talon Jacques, and Popescu Dan 1955-, eds. Imaging and vision systems: Theory, assessment and applications. Nova Science Publishers, 2001.

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12

Thompson, J. Kevin, Leslie J. Heinberg, Madeline Altabe, and Stacey Tantleff-Dunn. Exacting beauty: Theory, assessment, and treatment of body image disturbance. American Psychological Association, 1999. http://dx.doi.org/10.1037/10312-000.

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13

Kosasih, Djunaedi. Automated crack assessment of paved roads using digital image processing. University of Birmingham, 1987.

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14

Kevin, Thompson J., ed. Exacting beauty: Theory, assessment, and treatment of body image disturbance. American Psychological Association, 1999.

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15

C, Bowen Barry, Davis J. Bradley, and United States. National Aeronautics and Space Administration., eds. Debris/ice/TPS assessment and integrated photographic analysis of shuttle mission STS-67. National Aeronautics and Space Administration, 1995.

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16

1951-, Smolak Linda, and Thompson J. Kevin, eds. Body image, eating disorders, and obesity in youth: Assessment, prevention, and treatment. 2nd ed. American Psychological Association, 2009.

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17

Thompson, J. Kevin, and Linda Smolak, eds. Body image, eating disorders, and obesity in youth: Assessment, prevention, and treatment. American Psychological Association, 2001. http://dx.doi.org/10.1037/10404-000.

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18

Melbourne, Andrew, Roxane Licandro, Matthew DiFranco, et al., eds. Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00807-9.

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19

Chung, Nam-Joon. Public image and workforce quality in Korean civil service: A comparative assessment. Nam-Joon Chung, 1996.

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20

Aldo, Soprano, ed. Measuring operational and reputational risk: A practitioner's approach. Wiley, 2009.

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21

Manning, David J., and Berkman Sahiner. Medical imaging 2009: Image perception, observer performance, and technology assessment : 11-12 February 2009, Lake Buena Vista, Florida, United States. SPIE, 2009.

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22

Jaber, Wael A. Nuclear cardiology review: A self-assessment tool. Wolters Kluwer/Lippincott Williams & Wilkins Health, 2013.

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23

Levell, Nicholas Julian. Assessment of the validity of computerised image analysis techniques to measure psoriasis extent. University of Manchester, 1994.

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24

Thompson, J. Kevin, ed. Body image, eating disorders, and obesity: An integrative guide for assessment and treatment. American Psychological Association, 2001. http://dx.doi.org/10.1037/10502-000.

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25

Kevin, Thompson J., ed. Body image, eating disorders, and obesity: An integrative guide for assessment and treatment. American Psychological Association, 1996.

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26

Manning, David J. Medical imaging 2010: Image perception, observer performance, and technology assessment : 17-18 February 2010, San Diego, California, United States. Edited by SPIE (Society), Medtronic Inc, and American Association of Physicists in Medicine. SPIE, 2010.

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27

Smolak, Linda, and J. Kevin Thompson, eds. Body image, eating disorders, and obesity in youth: Assessment, prevention, and treatment. (2nd ed). American Psychological Association, 2009. http://dx.doi.org/10.1037/11860-000.

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28

Lorsakul, Auranuch. Objective Assessment of Image Quality: Extension of Numerical Observer Models to Multidimensional Medical Imaging Studies. [publisher not identified], 2015.

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29

Lapointe, Marc-André. Risque, réputation et signalisation par le dividende. CIACO, 1995.

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30

Russell, Linda. The investigation of early classification of pressure ulcers using computer image analysis for early prognostic assessment. University of Wolverhampton, 2001.

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31

Great Britain. Department of Health and Social Security. Supplies Technology Division., ed. Assessment of a Shimadzu WHA-10 mobile image intensifier: [supplied by] Medical X-ray Supplies Ltd.. Department of Health and Social Security, NHS Procurement Directorate, Supplies Technology Division, 1987.

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32

Domanus, J. C. Assessment of radiographic image quality by visual examination of neutron radiographs of the calibration fuel pin. Riso National Laboratory, 1986.

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33

Abbey, Craig K., and Claudia R. Mello-Thoms. Medical imaging 2012: Image perception, observer performance, and technology assessment : 8-9 February 2012, San Diego, California, United States. Edited by SPIE (Society), Agilent Technologies, and American Association of Physicists in Medicine. SPIE, 2012.

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34

Manning, David J. Medical imaging 2008: Image perception, observer performance, and technology assessment : 20-21 February 2008, San Diego, California, USA. SPIE, 2008.

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35

Yulei, Jiang, Eckstein Miguel P, Society of Photo-optical Instrumentation Engineers., and American Association of Physicists in Medicine., eds. Medical imaging 2006.: 14-16 February 2006, San Diego, California, USA. SPIE, 2006.

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36

Manning, David J., and Craig K. Abbey. Medical imaging 2011: Image perception, observer performance, and technology assessment : 16-17 February 2011, Lake Buena Vista, Florida, United States. SPIE, 2011.

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37

Bovik, Alan C., and Zhou Wang. Modern Image Quality Assessment. Morgan & Claypool Publishers, 2010.

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38

Modern Image Quality Assessment. Springer International Publishing AG, 2007.

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39

Ding, Yong, and Guangming Sun. Stereoscopic Image Quality Assessment. Springer Singapore Pte. Limited, 2020.

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40

Ding, Yong, and Guangming Sun. Stereoscopic Image Quality Assessment. Springer Singapore Pte. Limited, 2021.

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41

Bovik, A. C. Modern Image Quality Assessment. Springer Nature, 2006.

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42

Body image disturbance: Assessment and treatment. Pergamon Press, 1990.

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43

Bovik, Al, and Zhou Wang. Modern Image Quality Assessment (Synthesis Lectures on Image, Video, & Multimedia Processing). Morgan & Claypool Publishers, 2006.

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44

Ding, Yong. Visual Quality Assessment for Natural and Medical Image. Springer, 2019.

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45

Ding, Yong. Visual Quality Assessment for Natural and Medical Image. Springer, 2018.

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46

Annunziata, Maria Antonietta, Barbara Muzzatti, and Michelle Cororve Fingeret. Body Image Assessment in the Oncology Setting. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190655617.003.0003.

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Abstract:

Abstract: The purpose of this chapter is to provide a comprehensive overview of pertinent issues and considerations when assessing body image in an oncology setting. It argues for a multifaceted assessment of body image and delineates key aspects of body image relevant to the oncology setting. Attention is given to reviewing disease-specific body image instruments developed for cancer patients, broad-based quality of life instruments used in oncology research that have a body image component, and general body image instruments that have relevance for cancer. Fundamental elements of conducting

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47

O'Byrne, Michael, Franck Schoefs, Bidisha Ghosh, and Vikram Pakrashi. Image-Based Damage Assessment for Underwater Inspections. Taylor & Francis Group, 2018.

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48

Image Based Damage Assessment for Underwater Inspections. Taylor & Francis Group, 2018.

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49

O'Byrne, Michael, Franck Schoefs, Bidisha Ghosh, and Vikram Pakrashi. Image-Based Damage Assessment for Underwater Inspections. Taylor & Francis Group, 2018.

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50

O'Byrne, Michael, Franck Schoefs, Bidisha Ghosh, and Vikram Pakrashi. Image-Based Damage Assessment for Underwater Inspections. Taylor & Francis Group, 2018.

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