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

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Teaching and Learning Methods: Supervision / consultation with supervisor. Self-directed facilities-based work and report preparation. Assessment Rationale: The learning outcomes are assessed from the submission of five items: 1. Initial proposal submitted at the beginning of year three. 2. Update proposal submitted halfway through semester 1. 3. Literature survey submitted at the end of semester 1. 4. A ‘log book’ charting the progress of the project in comparison from proposal, through planning to execution. 5. The project itself, which will be practical and a conventional written report with any material arising from production aspects of the Major Project. These are assessed by the project supervisor and at least two other members of the course team. Overall assessment criteria: The extent to which the student is able to demonstrate an ability to: Conduct a pre-planned project. Use presentation techniques appropriate to the project. Show evidence of application of appropriate concept, skills, theories and technologies to the project. Adhere to the project plan or provide the rationale for necessary departures from it. Assessment Methods and Weightings: The weightings applied to the necessary submissions are: Proposals 1 and 2: 5% Literature Survey: 5% The project log: 10% The Major Project: 80% The Major Project is assessed against criteria listed below using weightings agreed between the student and the Project supervisor at the commencement of the Major Project, informed by the outcome of the Project Planning module, and forming a Learner Contract. Criteria for assessment of the Major Project, with ranges for the agreed weightings, are: Intellectual level and strength of the work 20 Originality and creativity displayed 20 Technical content 20 Quality of production and presentation of the report and any visual material 15 Reported adherence to the project plan or the rationale for necessary departures from it 5 To a total of: 80 Sources: It is expected that the literature searched during the planning phase will form the basis of the reading required for the Major Project. Suggested reading for the preparation of the project include: D.E.Avison, The Project Report: A guide for students, (3 rd ed.), Cambridge (1989). R.Barrass, Students Must Write: A guide to better writing in course work and examinations, Methuen, London (1982). R.Berry, The Research Report: How to Write It, (3 rd ed.), Routledge, London(1994). K.L.Turabian, A Manual for Writers of Term Papers, Theses and Dissertations, (6 th ed.), The University of Chicago Press, Chica DPI_Hbook 78 ©University of Westminster
Full Module Title: IMAGE QUALITY VERSION 2 Short Module Title: IMAGE QUALITY Module Code: 2DPI616 Module Level: 6 Academic Credit Weighting: 15 credits. Length: 1 semester Module Leader: Sophie Triantaphillidou extension: 4584 e-mail: triants@wmin.ac.uk School: Media, Art and Design. Department: Photographic and Digital Media Host Course: BSc(Hons) Photography and Digital Imaging Status: Option Pre-requisites: None. Co-requisites: None. Assessment: 40% Written Coursework 60% Practical Work Summary of Module Content: The issue of image quality is examined in the context of analogue and digital imaging systems. Objective measurements of spatial and noise characteristics are explored. Image Quality metrics are introduced. Subjective/ psychophysical methods for measuring image quality are introduced. Module Aims: • To gain an understanding of issues relating to the measurement of image quality, distortion and fidelity in the evaluation of imaging systems and processes. • To explore noise measures such as variance, signal-to-noise and autocorrelation function. • To establish the application of Fourier theory to the measurement and analysis of spatial frequency response and noise power of imaging systems. • To introduce psychophysics and psychometric scaling for the subjective evaluation of image quality. • To develop an understanding of image quality metrics along with the interrelationships between perceived and measured image quality in the evaluation of imaging systems. • To gain an understanding of the influence of scene dependency in image quality judgements. • To provide students with self-directed and focused practical work, to allow them to gain experience in setting up and analysing objective and subjective experiments related to image quality. Learning Outcomes: The successful student will be able to: 1. Demonstrate an understanding of the relationship between image distortion, fidelity and quality measurements. 2. Demonstrate knowledge of image quality metrics in the determination of the performance of imaging systems. 3. Evaluate image attributes such as sharpness and noise using objective evaluation measures such as modulation transfer functions and noise power spectra. 4. Understand and use psychophysical methods and apply related statistical analysis for the evaluation of image quality. 5. Understand the importance of image selection and experimental set-up in psychophysical investigations. Indicative syllabus content: Image Sharpness: Review of the Fourier transform, Measurement of the Modulation Transfer Function (MTF) in digital devices. Image Noise in digital systems: The measurement of Noise Power. Application of Noise-Power and MTFs: The transfer of noise power in imaging systems. DPI_Hbook 79 ©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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CONTENTS 1. Introduction 1.1 Course Outline 1 1.2 Introduction ...

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