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

Full Module Title:
ADVANCED PHOTOSCIENCE
Module Code: 2DPI511 Module Level: 5
Academic credit weighting: 30 credits. Length: 2 semesters
School:
Media, Art and Design.
Department:
Photographic and Digital Media
Module Leader: Sophie Triantaphillidou Extension: 4584
Host Course:
BSc(Hons) Photography and Digital Imaging
Status:
Core.
Subject Board:
Pre-requisites:
None.
Co-requisites:
None.
Assessment:
40% laboratory work
20% written coursework
40% examination.
Summary of Module content:
Light and radiation. Applicable solid-state physics for light and radiation generation and
detection. Image formation. Introduction to Fourier imaging and information theory. Sampling
and aliasing. Supporting mathematics including calculus, the Fourier transform, complex variable
theory, introductory matrix algebra. Statistics of analysis of variance.
Module Aims:
• To extend the scientific study of imaging systems and images.
• To develop methods of quantifying and measuring image quality and imaging performance.
• To introduce and develop important mathematical techniques.
Learning Outcomes:
On completion of the module the successful student will be able to:
1. Handle the essential mathematical tools necessary for the analysis of the imaging chain
as a communications channel.
2. Describe the role of Fourier theory in linear image formation.
3. Implement the main Fourier–based methods of image analysis.
4. Describe the principles of light production and detection and summarise some of the
advanced aspects of the physics of image formation in digital and photographic systems.
5. Devise and carry out appropriate experiments to compare the imaging performance of
different systems.
Indicative syllabus content:
Electromagnetic radiation. Production of light. Solid State Physics. Quantum nature of light and
light and radiation detection. Introduction to Fourier Imaging. Linear stationary systems.
Convolution. Sampling and the sampling theorem. Aliasing and aliasing artifacts.
Image noise analysis. Information and efficiency. Detective Quantum Efficiency and its
application to general imaging systems.
Integration, numerical integration, the meaning of convolution and autocorrelation. Complex
numbers and phase. Matrix algebra and matrix inversion. Vectors: Addition, scalar and vector
products. Statistics: analysis of variance.
Teaching and Learning Methods:
Illustrated lectures and workshops (appx 36 hrs). Laboratory work (appx 24 hrs). Seminars and
tutorials (appx 12 hrs).
Assessment Rationale:
DPI_Hbook 56 ©University of Westminster