Higher bit mapped compression techniques

Post on 01-Nov-2014

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Higher Computing information slides relating to compression techniques used when storing bit-mapped file formats

Transcript of Higher bit mapped compression techniques

Bit-mapped Compression Techniques

Run Length Encoding (RLE)Lempel Ziv Welch (LZW)

Colour Look-up Table (CLUT)

Colour Lookup Table

• CLUT

True Colour = 24 bits p/pixel

True Colour = 16, 777, 216 colours

This is known as the FULL PALETTE

CLUT

• Used in image editing programmes

• Allows a user to specify the colours used in an image (setting up their own)

• These ‘mini’ palettes use colours taken from the 24-bit system (True Colour)

What does a palette look like?

• This is an example of a colour palette

What is RGB?

• The RGB color model is an additive color model in which red, green, and blue light is added together in various ways to reproduce a broad array of colors.

• The name of the model comes from the initials of the three additive primary colors, red, green, and blue.

• Each colour created using this technique has a code:255-250-250 / 139-137-137

QUESTION 1

• Explain the purpose of a CLUT in a bit mapped file format

ANSWER 1

• Explain the purpose of a CLUT in a bit mapped file format

The RGB colour code for each colour used in the image is stored in the colour lookup table

A local palette storing the selection of colours used in the image

1 mark for any valid point

QUESTION 2

• Describe a benefit of using a CLUT when applying effects to a bitmap image.

ANSWER 2

• Describe a benefit of using a CLUT when applying effects to a bitmap image.

Changes to the palette affect the whole screen at once, so faster than editing pixel by pixel

Can be used to produce special effects which would be much slower to produce by updating pixels

Run Length Encoding (RLE)

• Colours are used again and again throughout an image

• RLE gets colour code, stores it, then repeats it where required in the image.

• Colour code only stored once

• Saves storage (compresses file)

QUESTION 3

• Describe how the RLE compression method reduces the file size.

ANSWER 3

• Describe how the RLE compression method reduces the file size.

• Areas of a particular colour) compressed by storing the colour to repeat (1 mark)

• And the number of pixels to repeat for (1 mark)

2 mark question

QUESTION 4

• Explain why this compression method may not be effective on this image file.

ANSWER 4

• Explain why this compression method may not be effective on a complex photographic (bit-mapped) image.

The image does not contain that many large blocks of the same colour (1 mark)

Therefore the amount of compression will be limited (1 mark)

2 mark question

Lempel Ziv Welch (LZW)

• Looks for commonly repeated bit patterns

• These patterns are stored in a look-up table

• Patterns allocated an index number

• Index number stored rather than complete patterns

Disclaimer

• Questions taken from 2008 past paper in accordance with SQA rules:

The information in this publication may be reproduced to support SQA qualifications only on a non-commercial basis.