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

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Full Module Title:<br />

METHODS IN PHOTOSCIENCE<br />

Short Module Title: PHOTOSCIENCE METHODS<br />

Module Code: 2DPI411 Module Level: 4<br />

Academic credit weighting: 30 credits. Length: 1 semester<br />

School:<br />

Media, Art and Design.<br />

Department:<br />

Photographic and Digital Media<br />

Module Leader: Efie Bilissi Extension: 4581<br />

Host <strong>Course</strong>:<br />

BSc(Hons) Photography and Digital Imaging<br />

Status:<br />

Core.<br />

Subject Board:<br />

Pre-requisites:<br />

None.<br />

Co-requisites:<br />

None.<br />

Assessment:<br />

40% laboratory work, 20% written coursework, 40% examination.<br />

Summary of Module content:<br />

Methods of Geometrical Optics. Characteristic (input-output) curves of imaging systems.<br />

The basis of colour. <strong>Introduction</strong> to performance assessment (Resolution, sharpness, noise, MTF).<br />

Applicable Mathematics and statistics.<br />

Module Aims:<br />

• To introduce the analytical skills that underpin the scientific study of images and imaging<br />

systems.<br />

• To supply transferable mathematical skills.<br />

• To introduce the fundamental limitations of images and imaging systems as carriers of<br />

information.<br />

• To introduce concepts of image quality and their measurement.<br />

• To implement simple theoretical performance measures into practical schemes for a range of<br />

systems and images.<br />

• To develop the practical skills necessary for the reliable collection of data for image quality<br />

measurement.<br />

• To analyse and present results and conclusions from an investigation, with due regard of<br />

experimental error, procedural assumptions and other necessary practical simplifications.<br />

Learning Outcomes:<br />

On completion of the module the successful student will be able to:<br />

<strong>1.</strong> Define some simple measures of image quality and imaging system performance and explain<br />

their importance.<br />

2. Measure and interpret the input-output relationships for a variety of imaging processes.<br />

3. Explain the significance of linear and non-linear systems in imaging chains.<br />

4. Relate aspects of image quality to measurable properties and measure simple aspects of<br />

objective image quality.<br />

5. Describe the basic relationships between image properties and the physical processes<br />

producing the image.<br />

6. Employ the basic methods of geometrical constructs and ray tracing in studying image<br />

formation in optical systems.<br />

7. Understand the basic principles of calculus as a powerful analytical tool.<br />

8. Use some important ideas and results from probability theory and statistics.<br />

9. Work in a group and plan simple projects.<br />

Indicative syllabus content:<br />

Optics: Light rays. Geometrical optics. Cardinal points, stops and pupils.<br />

Measurement units: Illumination, exposure, intensity, transmittance, density, voltage, pixel level.<br />

Macroscopic input-output relationships: Photographic D-log H, Digital: dv-exposure.<br />

Sensitivity: Film speed, Responsivity.<br />

Tone reproduction: Quadrant diagrams for photographic and digital systems.<br />

DPI_Hbook 49 ©University of Westminster

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