1. Skills: none Concepts: the amount of information in an image This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License. Compression and information

2. Where does this topic fit? Internet concepts – Applications – Technology – Implications Internet skills – Application development – Content creation (image) – User skills

3. Original

4. 29% reduction

5. 96% reduction

6. 256 colors 2 colors4 colors8 colors16 colors 64 colors 128 colors 32 colors Less variety → less information

7. Fewer pixels → less information 322 X 345 111,090 pixels 355 X 383 135,965 pixels

8. Summary

9. 1.We can tolerate lossy compression for images. Is lossy compression of text permissible? 2.If we used a lossy compression technique on an audio file, what would happen? 3.The image of Lucas remained the same size -- 359 by 381 pixels after we compressed it, but something changed – what changed? 4.How is lossless compression of a spreadsheet or text file possible if if none of the numbers or letters change? What must have changed? (Hint: review our presentation Data + code → information). 5.If the pixels making up an image can have only two different colors – for example black or white – how many bits do you need to store each pixel? 6.If the pixels making up an image can have only four different colors – for example black, white, and two shades of grey – how many bits do you need to store each pixel? 7.We saw that compressing an image or resizing it to be smaller discarded information. Does resizing an image to make it larger create new information? Questions