1. Lecture 3: ImagesIntro to IT COSC1078 Introduction to Information Technology Lecture 3 Images James Harland james.harland@rmit.edu.au

2. Lecture 3: ImagesIntro to IT Overview  Questions?  Images  Assignment 1  Lab classes  Questions?

3. Lecture 3: ImagesIntro to IT Introduction to IT 1 Introduction 2 Images 3 Audio 4 Video WebLearnTest 1 5 Binary Representation Assignment 1 6 Data Storage 7 Machine Processing 8 Operating Systems WebLearn Test 1 9 Processes Assignment 2 10 Internet 11 Internet Security WebLearn Test 3 12 Future of ITAssignment 3, Peer and Self Assessment

4. Lecture 3: ImagesIntro to IT Introduction James Harland Email: james.harland@rmit.edu.au URL: www.cs.rmit.edu.au/~jah Phone: 9925 2045 Office: 14.10.1 (Building 14, level 10, room 1) Consultation: Mon 4.30-5.30, Thu 11.30-12.30 What colour is my office door? Carpet? Chair?

5. Lecture 2: OverviewIntro to IT Assessment Process  Submit all assignments via Blackboard in the Learning Hub  Assignment 1due 11.59pm Sunday 1 st April  Assignment 2due 11.59pm Sunday 6 th May  Assignment 3 due 11.59pm Sunday 27 th May  Late assignments attract a penalty of 10% per day late, up to a maximum of 50%

6. Lecture 2: OverviewIntro to IT Assignment  Assignment will be in three parts  Overall task is to produce a video  Groups of up to 3  Assessed by final video and group blog  Part 1: images and audio (end of week 5)  Part2: hardware (end of week 9)  Part 3: reflection, research (end of week 12)

7. Lecture 3: ImagesIntro to IT Assignment 1  Use GIMP (or a similar tool) to perform some manipulations on an image  Use Audacity to perform some manipulations on sound  Address three issues in relation to this  Lab classes 2 and 3 will be based around GIMP  Lab class 4 based on Audacity  Main emphasis is on process, not result!  Will be released by end of this week

8. Lecture 3: ImagesIntro to IT Lab Classes  Start in week 2 (this week)  Work on practical exercises and sometimes assignment materials  Lab assists present to help and an answer questions  Details will be in the Learning Hub

9. Lecture 3: ImagesIntro to IT Overview 01010100001010101010100110100010101001101001010010 100011100010101010100101111001001010…

10. Lecture 3: ImagesIntro to IT Overview 01010100001010101010100110100010101001101001010010 100011100010101010100101111001001010…

11. Lecture 3: ImagesIntro to IT Representing Images Pixel

12. Lecture 3: ImagesIntro to IT Representing Images Pixel

13. Lecture 3: ImagesIntro to IT Representing Images Pixel  `picture element’ (sampling)  dot of colour Resolution  number of pixels  6 megapixels means 3000 x 2000 Bit depth  How many colours per pixel (quantizing)  The bigger this value is, the more colours can be displayed

14. Lecture 3: ImagesIntro to IT Representing Images These are known as bitmapped images (or raster graphics)  Can be edited pixel by pixel  Appearance can look bad when sizes are changed  Low resolution versions generally look horrible!  Jpeg, gif, bmp, png, tif,…

15. Lecture 3: ImagesIntro to IT Representing Images Vector graphics use equations to represent images  generally saves space  resolution independent (ie can be rescaled to any size without loss of quality)  can be rasterized (ie converted into bitmapped representation)  eps, wmf, …

16. Lecture 3: ImagesIntro to IT Representing Colours 01010100001010101010100110100010101001101001010010 100011100010101010100101111001001010… Pixel R G B

17. Lecture 3: ImagesIntro to IT Representing Colours There are various different schemes for representing colours  RGB  CMYK  HSB  HSL  CIE XYZ 01010100001…

18. Lecture 3: ImagesIntro to IT Conclusion  Go to laboratory classes (and tutorials) this week!  Lab notes in the Learning Hubub  Check details in Course Guide  Start reading (notes, problems, report topic) GET THE BOOK!