Mapa mental
Sin título
Contenido del mapa
Enter text here
Data Compression
- Purpose of data compression
- Reduce the physical file size of data on a file
- Speed up data transmission times
- Save strorage on primary storage drive (hard disk)
- How Zipping compresses files
- Include algrorithms capable of breaking down longer strings of data onto shorter ones
- Basic
- Then reassembles the longer strings of data later using what they retained from the shorter strings of data
- Advanced
- A algorithm is used to determine how to shrink the physical files size
- Lossless compression (what WINZIP use)
- Loseless compression works by temporarily removing data redundancy (repeated words/numbers/special charcters)
- Lossless compression then replaces that redundant data with instructions
- These instructions tell the system how much data repeats itself
- Example (data = FFFIII)
- Longer strings of data can be shortened into shorter strings E.G) F3I3
- Lossless compression enables the FULL RESTORATION OF A FILE to its ORIGINAL STATE when decompressed (UNZIPPED)
- Lossless compression doesn't lose a SINGLE BIT OF DATA
- Lossless compression enables the FULL RESTORATION OF A FILE to its ORIGINAL STATE when decompressed (UNZIPPED)
- Longer strings of data can be shortened into shorter strings E.G) F3I3
- Example (data = FFFIII)
- These instructions tell the system how much data repeats itself
- Lossless compression then replaces that redundant data with instructions
- Loseless compression works by temporarily removing data redundancy (repeated words/numbers/special charcters)
- Lossless compression (what WINZIP use)
- LOSSY Compression
- Lossy compression PERMANENTLY removes redundant data to shrink the file size
- Because lossy compression removes data permanenly
- You cannot recreate the orginal file from the compressed file when decomopressing / unzipping
- Because lossy compression removes data permanenly
- Lossy compression PERMANENTLY removes redundant data to shrink the file size
- A algorithm is used to determine how to shrink the physical files size
- Include algrorithms capable of breaking down longer strings of data onto shorter ones
- File formats
- Bitmap
- Retains all image details and quality at the expense of a large file size
- Uncompressed image file format
- Each pixel in a BITMAP images is represented by 8/16//24/32 bits (the colour depth)
- JPEG (Joint photographic experts group_
- Compressed image file format
- Resolution can be reduced using compression methods (lossy / lossless)
- Compression can cause the image quality to reduce (lossy compression)
- The degree of lossiness can be altered to balnce the amount of quality lost and file size lost
- lossy Compression causes the file size to reduce
- GIF (Graphics interchange format)
- File format used to display indexed colour graphics and images in HTML documents on the web
- GIF can display up to a maximum of 256 colours
- GIF is especially good at displaying grpahics with large blocks of colour and simple illustrations such as logo / icons
- Gif isnt very good at displaying photogrpah images
- GIF is especially good at displaying grpahics with large blocks of colour and simple illustrations such as logo / icons
- GIF can display up to a maximum of 256 colours
- File format used to display indexed colour graphics and images in HTML documents on the web
- Bitmap
- Purpose of data compression
Información
- Descripción
- Mapa Mental sobre Sin título, creado por ben thorne el 10/01/2017.
- Creado por
- ben thorne · ene 2017
- Actualizado
- 11 ene 2017
- Visitas
- 0
- Valoración