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

More documents

Recommendations

Info

G. Wyszeski and W. S. Stiles (1982), Colour Science: Concepts and Methods, Quantitative Data and Formulae, John Wiley & Sons. S.Triantaphillidou (2001), Aspects of Image Quality in the Digitisation of Photographic Collections, PhD thesis, University of Westminster. Further reading: K.McLaren (1986) The Colour Science of Dyes and Pigments (2nd ed.), Adam Hilger, Bristol, England. K.Nassau (Ed.) (1998) Colour for Science, Art and Industry, Elsevier Science, B.V., Amsterdam, The Netherlands. L.E.MacDonald and M.R.Luo (1999) Colour Imaging, John Wiley and Sons, Chichester, England. Papers in Journals and Conference Proceedings G.G.Attridge and M.R. Pointer(1994) “Colour Science in Photography”, J.Photogr.Sci., 42, 197. G.G.Attridge and M.R.Pointer (1996) “A Summary of Applications of Colour Reproduction Indices to Imaging Systems”, J.Photogr.Sci., 44, 187. G.G.Attridge and M.R.Pointer (2000) “Some Aspects of the Visual Scaling of Large Colour Differences - II”, Col.Res.Appl., 25, 116. A.M.Ford, R.E.Jacobson, and G.G.Attridge (1996) “Assessment of a CRT Display System”, J.Photogr.Sci., 44, 147. R.E.Jacobson, A.M. Ford, and G.G.Attridge (1997) “Evaluation of the Effects of Compression on the Quality of Images on a Soft Display”, Proceedings of IS&T/SPIE Symposium on Electronic Imaging: Science and Technology, San Jose, CA, February 1997. M.R.Pointer (1986) “Measuring Colour Reproduction”, J.Photogr.Sci., 34, 81. M.R.Pointer and G.G.Attridge (1997) “Some Aspects of the Visual Scaling of Large Colour Differences”, Col.Res.Appl., 22, 298. S.Triantaphillidou et al. (2002), A Case Study for Digitising a Photographic Collection, The Imaging Sciene Journal, 50, 222-243. R.S. Berns (1996), Methods for Characterizing CRT Displays, Displays, 16. H. R. Kang (1992), Color Scanner Calibration, Journal of Imaging Science and Technology, 36. 6. M.R.Pointer et al. (2001), Practical Characherisation for Colour Measuerement, The Imaging Sciene Journal, 49. Journals to be perused regularly include: Imaging Science Journal, Color Research and Applications, Journal of Imaging Science. Attention is also directed to Web sites, that of CIE being particularly useful. DPI_Hbook 88 ©University of Westminster
Full Module Title: DIGITAL IMAGE PROCESSING Short Module Title: DIGITAL IMAGE PROCESSING Module Code: 2DPI604 Module Level: 6 Academic credit weighting: 15 Length: 1 semester School: Media, Art and Design Department: Photographic and Digital Media Module Leader(s): Liz Allen Extension:4083 e.mail:allene@wmin.ac.uk Host Course: BSc (Hons) Photography and Digital Imaging Status: Option Pre-requisites: None Co-requisites: None Assessment: Written Examination 40% Course work 20% Written Reports from practical assignments 40% Summary of Module content: Digital Image Processing The aim of the module is to provide a higher-level understanding of digital image processing and manipulation techniques and their application. Image enhancement, image restoration, image segmentation, image analysis, compression, frequency space processing, transformations, computer vision, image recognition. Module Aims: • To gain an understanding of the main classes of digital image processing and manipulation techniques and their application. • To extend earlier study of digital imaging systems and the management of image data in alternative representations. • To provide students with self-directed and focused practical work, to allow them to gain experience in the use of image processing to solve specific problems. • To gain knowledge of practical application of image processing algorithms using MATLAB. • Learning Outcomes: 1. Be aware of the scope of digital imaging. 2. Understand the main applications and classes of image processing techniques and their advantages and limitations. 3. Be proficient in the use of MATLAB to write programs for the implementation and testing of image processing algorithms. 4. Be familiar with methods of image enhancement and restoration in both real and Fourier spaces. 5. Demonstrate knowledge of fundamental techniques and approaches used in image segmentation and analysis. 6. Understand and apply image compression correctly to preserve data integrity. 7. Use terminology related to the field correctly. 8. Select appropriate image processing or manipulation algorithms for specific tasks and understand the relevant implementations. DPI_Hbook 89 ©University of Westminster
Page 1 and 2:
CONTENTS 1. Introduction 1.1 Course
Page 3 and 4:
THE UNIVERSITY OF WESTMINSTER SCHOO
Page 5 and 6:
(xii) (xiii) (xiv) To educate gradu
Page 7 and 8:
student will have begun their resea
Page 9 and 10:
2.4 POSSIBLE PHOTOSCIENCE ROUTE Yea
Page 11 and 12:
2.6 Calendar Weeks are numbered in
Page 13 and 14:
3. Learning Outcomes 3.1 Year One T
Page 15 and 16:
• Describe informatively the fund
Page 17 and 18:
4. Subject Benchmarks Subject bench
Page 19 and 20:
Skills Chart for BSc(HONS) Photogra
Page 21 and 22:
5.4 Personal Development Planning A
Page 23 and 24:
• Meetings should be held at leas
Page 25 and 26:
6.5 Technical Support The dedicated
Page 27 and 28:
9. Teaching and Learning Strategies
Page 29 and 30:
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 and 82: Full Module Title: IMAGE QUALITY VE
Page 83 and 84: P.G.Engeldrum (2000) Psychometric S
Page 85 and 86: Laboratory work is assessed by prac
Page 87 and 88: Assessment Rationale: • Emphasis
Page 89: Colour management systems: Colour c
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
show all

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

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?