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Lecture 3: ImagesIntro to IT COSC1078 Introduction to Information Technology Lecture 3 Images James Harland james.harland@rmit.edu.au
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Lecture 3: ImagesIntro to IT Overview Questions? Images Assignment 1 Lab classes Questions?
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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
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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?
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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%
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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)
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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
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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
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Lecture 3: ImagesIntro to IT Overview 01010100001010101010100110100010101001101001010010 100011100010101010100101111001001010…
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Lecture 3: ImagesIntro to IT Overview 01010100001010101010100110100010101001101001010010 100011100010101010100101111001001010…
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Lecture 3: ImagesIntro to IT Representing Images Pixel
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Lecture 3: ImagesIntro to IT Representing Images Pixel
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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
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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,…
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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, …
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Lecture 3: ImagesIntro to IT Representing Colours 01010100001010101010100110100010101001101001010010 100011100010101010100101111001001010… Pixel R G B
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Lecture 3: ImagesIntro to IT Representing Colours There are various different schemes for representing colours RGB CMYK HSB HSL CIE XYZ 01010100001…
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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!
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