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

Light diffusion and partitioning; spread functions, resolution and sharpness.
Spatial frequency: Images as sets of spatial frequencies. Spatial frequency response.
Image noise: causes and simple methods of analysis.
Information: Introduction to information as a measurable quantity for an image.
Introductory colour: Simple methods of measurement and specification. RGB.
Mathematics: Introduction to Calculus. Rates of change, differentiation. Integration as the reverse of
differentiation. Integration as an area. Methods of differentiation and integration. Trigonometry –
sine and cosine functions.
Statistics: Probability and its distributions. Introduction to significance testing.
Teaching and Learning Methods:
Illustrated lectures and workshops (appx 36 hrs). Laboratory work (appx 24 hrs). Seminars and
tutorials (appx 12 hrs).
Assessment Rationale:
The examination will test the students’ ability to define and understand concepts, derive simple
results, describe applications and procedures, and to analyse and conclude on simple case studies.
(Learning outcomes 1,3,5,7 and 8).
Written coursework may consist of an essay, a number of mathematical problems and general
imaging problems requiring a detailed and accurate analysis at the appropriate level, with
justifications and assumptions as necessary. Students are encouraged to consult a range of sources,
and assignments are timed to enable valuable feedback. (Learning outcomes 4,5,7,8).
Practical work is assessed by written reports from assignments. The student must demonstrate an
ability to:
• Understand and interpret an experimental brief and establish the appropriate experimental
design.
• Collect appropriate data in a reliable manner.
• Analyse the data as advised and clearly present the results.
• Present sound discussions and conclusions on the work in the light of expected outcomes.
(Learning outcomes 2, 4, 6 and 9).
The Group Presentation will involve small-group work in the research, interpretation and presentation
of a relevant topic. (Learning outcomes 1 and 9).
Assessment criteria:
The extent to which the student is able to demonstrate an ability to:
• Handle the units involved in the various objective measures.
• Perform set mathematical tasks.
• Use appropriate formulae from input-output theory, spatial frequency response theory and
introductory colour theory to analyse data and interpret findings.
• Interpret the terminology relevant to basic imaging performance.
• Describe, and where appropriate, derive simple relationships between aspects of image
quality and measurable properties.
• Successfully use a variety of imaging processes in an objective manner, including calibration
procedures.
• Plan and carry out experimental investigations, keeping a laboratory notebook.
• Interpret experimental results with due regard for experimental errors, and discuss and
conclude on the findings in the light of other published results or expected outcomes.
• Use reference material as appropriate.
Assessment Methods and Weightings:
Written examination: 40%, Written Coursework: 20%, Practical work: 40%.
Sources:
Essential reading:
R.E.Jacobson, S.F.Ray, G.G.Attridge and N.R.Axford., The Manual of Photography
Press, Oxford(2000).
L.R.Mustoe and M.D.J.Barry, Foundation Mathematics, Wiley, Chichester(1998).
(9 th ed), Focal
DPI_Hbook 50 ©University of Westminster