CONTENTS 1. Introduction 1.1 Course Outline 1 1.2 Introduction ...

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Introduction to image quality. The image quality circle. Visual performance of imaging systems. Introduction to psychophysics. Image Quality Metrics. The observer's function, methods of determination, influence of noise, scaling methods and statistics. Image quality measurement in image processing and image compression. Digital image artefacts Performance criteria, distortion metrics. Set-up for psychophysical experiments. Characterisation and calibration of viewing conditions and output devices. Theory and implementation of psychophysical tests. Paired Comparisons. Types of paired comparison tests. Software. Numbers of observers. Analysis of data, Errors. Evaluation of thresholds. Measurement of fidelity. Just-noticeable-differences: image attributes & image quality. Data analysis. ‘The image quality ruler’. Scene Dependency in image quality. Scene selection. Scene content. Influence on image quality judgements. Image analysis. Measurement of scene characteristics. Incorporation in image quality studies/metrics. Teaching and Learning Methods: The module comprises lectures and seminars and supervised workshops and laboratory sessions. Assessment Rationale: The module is concerned with the objective and subjective evaluation of images. The written coursework is designed to support the learning process and to aid in the understanding of some challenging concepts, 40% (Learning outcomes 1-4). Self-directed practical work is designed to give the student experience in setting up and analysing the results from both subjective and objective evaluations, 60%. This will test learning outcomes 1-5. Assessment Criteria: The extent to which the student is able to demonstrate the ability to: • Interpret the terminology relevant to imaging performance and image quality. • Use appropriate formulae from theory to analyse data and interpret findings. • Understand models for image quality metrics. • Plan, carry out and report on experimental investigations. • Comment critically on results obtained, with due regard for experimental errors and the significance of the result. • Use research/reference literature as appropriate. Assessment Methods and Weightings: Written Coursework 40% Laboratory Work 60% Written Coursework may consist of an essay and a number of problems requiring a detailed and accurate analysis with justifications and appropriate assumptions. Some computer modelling may be required. Laboratory work is assessed by written reports from practical assignments. The student must demonstrate the ability to: • Understand and interpret an experimental brief and establish the appropriate experimental design. • Undertake reliable collection of data using suitable instrumentation. • Analyze the data in an accurate manner, and clearly present the relevant results. • Present sound discussions and conclusions on the work, in the light of other published results or expected outcomes. Sources: Essential reading C.N.Proudfoot (ed.) (1973) SPSE Handbook of Photographic Science and Engineering, 2 nd Ed., IS&T, Springfield, USA. J.C.Dainty and R.Shaw (1974) Image Science, Academic Press, London, England. DPI_Hbook 80 ©University of Westminster
P.G.Engeldrum (2000) Psychometric Scaling: A Toolkit for Imaging Systems Development, Imcotek Press, Winchester, MA., USA. C.J.Bartleson and F.Grum (eds) (1984), Optical Radiation Measurements, Volume 5 – Visual Measurements, Academic Press, New York, USA. Watson, A., (Editor) (1993)Digital Images and Human Vision The MIT Press; Cambridge, Massuchusetts; London, England; Keelan, B.W. (2002) Handbook of Image Quality: Characterization and Prediction Marcel Decker, Inc. New York, USA; R.E.Jacobson (1995) An Evaluation of Image Quality Metrics, J.Photogr.Sci., 43, 7. R.E.Jacobson and S.Triantaphillidou (2001) Metric Approaches to Image Quality. In book Colour Image Science: Exploiting Digital Media (see below). S.Triantaphillidou and R.Jacobson, MTF Evaluation of Image Displays, IS&T Journal of Imaging Science…. S.Triantaphillidou, R.Jacobson and R. Jenkin, MTF Evaluation of 35 mm scanners, PICS Further reading G.C.Holst (1996) CCD Arrays, Cameras and Displays, SPIE Optical Engineering Press, Bellingham, Washington, USA. M.D.Fairchild (2004) Colour Appearance Models, 2 nd Edition, Addison Wesley, Reading, Massachusetts. USA. MacDonald L.W. and Luo M.R.(Eds.)(1999), Colour Imaging: Vision and Technology John Wiley, Chichester, UK. MacDonald L.W. and Luo M.R, (2002) Colour Image Science: Exploiting Digital Media Eds., John Wiley, Chichester, UK. Papers in Journals Töpfer, K., & Jacobson, R.E. (1993)The relationship between objective and subjective image quality criteria Journal of Information Recording Materials, 21, 5-27 A.Blackman (1968) Effects of Noise on the Determination of Photographic System Modulation Transfer Functions, Photogr.Sci.Engng.,12, 244. M.De Belder and J. De Kerf (1967) The Determination of the Wiener Spectrum of Photographic Emulsion Layers with Digital Methods, Photogr.Sci.Engng.,11,371. M.Felz (1990) Development of the Modulation Transfer Function and Contrast Transfer Function for Discrete Systems, Particularly Charge-coupled Devices, Optical Engineering, 29(8), 893-904. M. Felz, and A. Karim, Modulation Transfer Function of Charge-coupled Devices, Applied Optics, 29(5), 717. G.C.Higgins (1971) Methods for Analysing the Photographic System, Including the Effects of Nonlinearity and Spatial Frequency Response, Photogr.Sci.Engng.,15,106. R.A.Jones (1967) An Automated Technique for deriving MTF's from Edge Traces, Photogr.Sci.Engng., 11,102. R.A.Jones and E.C. Yeadon (1969) Determination of the Spread Function from Noisy Edge Scans, Photogr.Sci.Engng.,13, 200. E.Klein and G. Langner (1963) Relations between Granularity, Graininess and the Wiener Spectrum of the Density Deviations, J.Photogr.Sci.,11,177. S. Triantaphillidou, R.E. Jacobson, and A.M.Ford Ford. (1998) Preferred Tone Reproduction of Images on Soft Displays. in Proceedings of International Congress on Imaging Science (ICPS'98), University of Antwerp, September 7-11. 1998. University of Antwerp. B.Yeadon, R.A. Jones and J.T. Kelly (1970) Confidence Limits for Individual Modulation Transfer Function Measurements Based upon the Phase Transfer Function, Photogr.Sci.Engng.,14,153. DPI_Hbook 81 ©University of Westminster
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CONTENTS 1. Introduction 1.1 Course
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THE UNIVERSITY OF WESTMINSTER SCHOO
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(xii) (xiii) (xiv) To educate gradu
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student will have begun their resea
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2.4 POSSIBLE PHOTOSCIENCE ROUTE Yea
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2.6 Calendar Weeks are numbered in
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3. Learning Outcomes 3.1 Year One T
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• Describe informatively the fund
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4. Subject Benchmarks Subject bench
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Skills Chart for BSc(HONS) Photogra
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5.4 Personal Development Planning A
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• Meetings should be held at leas
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6.5 Technical Support The dedicated
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9. Teaching and Learning Strategies
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Do you appreciate both halves of yo
Page 31 and 32: 9.5.4 Blackboard and the Student Re
Page 33 and 34: piece of work, you should have two
Page 35 and 36: 10.6 Reporting Practical Work Unles
Page 37 and 38: eference, or government publication
Page 39 and 40: 11. Award Regulations BSc (Hons) Ph
Page 41 and 42: Credit Level 6 Code Module title Co
Page 43 and 44: 11.5.2 Diploma of Higher Education
Page 45 and 46: Full Module Title: PHOTOSCIENCE Mod
Page 47 and 48: Full Module Title: INTRODUCTION TO
Page 49 and 50: Full Module Title: DIGITAL IMAGE MA
Page 51 and 52: Full Module Title: METHODS IN PHOTO
Page 53 and 54: Further reading: Optics and Photoni
Page 55 and 56: Assessment Rationale: • Much emph
Page 57 and 58: • The practical project will asse
Page 59 and 60: The examination will test the stude
Page 61 and 62: Indicative syllabus content: • Se
Page 63 and 64: Full Module Title: COMMERCIAL PHOTO
Page 65 and 66: Full Module Title: INTRODUCTION TO
Page 67 and 68: M.R.Pointer and G.G.Attridge (1997)
Page 69 and 70: 7. Interpret data derived from labo
Page 71 and 72: Full Module Title: CONSTRUCTED PHOT
Page 73 and 74: Full Module Title: MATHS FOR IMAGIN
Page 75 and 76: Full Module Title: MATLAB Programmi
Page 77 and 78: Full Module Title: PROJECT PLANNING
Page 79 and 80: Full Module Title: MAJOR PROJECT Sh
Page 81: Full Module Title: IMAGE QUALITY VE
Page 85 and 86: Laboratory work is assessed by prac
Page 87 and 88: Assessment Rationale: • Emphasis
Page 89 and 90: Colour management systems: Colour c
Page 91 and 92: Full Module Title: DIGITAL IMAGE PR
Page 93 and 94: Assessment Methods and Weightings:
Page 95 and 96: For the purposes of gaining credits
Page 97 and 98: Student Module Profile From the 200
Page 99 and 100: Curriculum Vitae Name: Current Posi
Page 101 and 102: Triantaphillidou S., Image Quality
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CONTENTS 1. Introduction 1.1 Course Outline 1 1.2 Introduction ...

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