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Books on the topic 'Image quality assessment metric'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

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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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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3

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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4

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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5

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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6

Evans, Ronald J. Image quality metrics and application of the Square Root Integral (SQRI) metric: An overview. Air Force Human Resources Laboratory, Air Force Systems Command, 1990.

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7

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

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8

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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9

Wiseman, Chad D. Multi-metric index development for biological monitoring in Washington State streams. 2nd ed. Washington State Dept. of Ecology, 2003.

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10

Wiseman, Chad D. Multi-metric index development for biological monitoring in Washington State streams. 2nd ed. Washington State Dept. of Ecology, 2003.

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11

Wiseman, Chad D. Multi-metric index development for biological monitoring in Washington State streams. Washington State Dept. of Ecology, 2003.

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12

Wiseman, Chad D. Multi-metric index development for biological monitoring in Washington State streams. Washington State Dept. of Ecology, 2003.

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13

Wiseman, Chad D. Multi-metric index development for biological monitoring in Washington State streams. 2nd ed. Washington State Dept. of Ecology, 2003.

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14

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

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15

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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16

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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17

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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18

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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19

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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20

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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21

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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22

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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23

P, Andriole Katherine, Horii Steven C, Society of Photo-optical Instrumentation Engineers., and American Association of Physicists in Medicine., eds. Medical imaging 2007.: 20-22 February 2007, San Diego, California, USA. SPIE, 2007.

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24

Jiang, Hsieh, Flynn Michael J. PhD, Society of Photo-optical Instrumentation Engineers., and American Association of Physicists in Medicine., eds. Medical imaging 2007.: 18-22 February 2007, San Diego, California, USA. SPIE, 2007.

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25

1956-, Giger Maryellen Lissak, Karssemeijer Nico, Society of Photo-optical Instrumentation Engineers., and American Association of Physicists in Medicine., eds. Medical imaging 2007.: 20-22 February 2007, San Diego, California, USA. SPIE, 2007.

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26

Image Processing Conference (2007 San Diego, Calif.). Medical imaging 2007.: 18-20 February 2007, San Diego, California, USA. Edited by Reinhardt Joseph M, Pluim Josien P. W, Society of Photo-optical Instrumentation Engineers., American Association of Physicists in Medicine., and SPIE Medical Imaging Symposium (2007 : San Diego, Calif.). SPIE, 2007.

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27

Armando, Manduca, Hu Xiaoping 1961-, Society of Photo-optical Instrumentation Engineers., and American Association of Physicists in Medicine., eds. Medical imaging 2007.: 18-20 February 2007, San Diego, California, USA. SPIE, 2007.

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28

Yulei, Jiang, Sahiner Berkman, Society of Photo-optical Instrumentation Engineers., American Association of Physicists in Medicine., and SPIE Medical Imaging Symposium (2007 : San Diego, Calif.), eds. Medical imaging 2007.: 21-22 February 2007, San Diego, California, USA. SPIE, 2007.

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29

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

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30

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

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31

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

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32

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

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33

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

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34

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

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35

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

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36

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

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37

Xu, Long, Weisi Lin, and C. C. Jay Kuo. Visual Quality Assessment by Machine Learning. Springer Singapore Pte. Limited, 2015.

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38

Kuo, C. C. Jay, Long Xu, and Weisi Lin. Visual Quality Assessment by Machine Learning. Springer, 2015.

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39

Bigand, André, Julien Dehos, Christophe Renaud, and Joseph Constantin. Image Quality Assessment of Computer-generated Images: Based on Machine Learning and Soft Computing. Springer, 2018.

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40

Tang, Xiangyang. Spectral Multi-Detector Computed Tomography: Data Acquisition, Image Formation, Quality Assessment and Contrast Enhancement. Taylor & Francis Group, 2023.

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41

Tang, Xiangyang. Spectral Multi-Detector Computed Tomography: Data Acquisition, Image Formation, Quality Assessment and Contrast Enhancement. CRC Press LLC, 2023.

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42

Tang, Xiangyang. Spectral Multi-Detector Computed Tomography: Data Acquisition, Image Formation, Quality Assessment and Contrast Enhancement. CRC Press LLC, 2023.

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43

Tang, Xiangyang. Spectral Multi-Detector Computed Tomography: Data Acquisition, Image Formation, Quality Assessment and Contrast Enhancement. Taylor & Francis Group, 2023.

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44

Idris, H. Image Quality Assessment in Diagnostic Radiography: Resolution Characteristics in terms of Modulation Transfer Function (MTF). IOS Press/Delft University Press, 2005.

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45

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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46

Me, American Association of Physicists in. Medical Imaging 2005: Image Perception, Observer Performance, And Technology Assessment (Progress in Biomedical Optics and Imaging,). SPIE-International Society for Optical Engine, 2005.

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47

Medical imaging 2004: Image perception, observer performance, and technology assessment : 17-19 February 2004, San Diego, California, USA. SPIE, 2004.

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48

Medical imaging 2003.: 18-20 February 2003, San Diego, California, USA. SPIE, 2003.

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49

SPIE. Medical Imaging 2014: 16-18 February 2014, San Diego, California, United States. SPIE, 2014.

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50

SPIE. Medical Imaging 2014: 16-17 February 2014, San Diego, California, United States. SPIE, 2014.

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