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  1. The list of compression algorithms that can be used is extensive: CCITT G3/G4 – used for monochrome images. JPEG – a lossy algorithm that is used for images. JPEG2000 – a more modern alternative to JPEG, which is also used for compressing images. Flate – used for compressing text as well as images. JBIG2 – an alternative to CCITT ...

  2. apter 1Introduction to Computers and. Programmingappear to the system as a disk drive. The. e drives do not actually contain a disk, however. They store data. n a special type of memory known as flash memory. USB drives, which are also known as memory sticks and flash drives, are inexpensive, reliab.

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  3. Data compression. In information theory, data compression, source coding, [1] or bit-rate reduction is the process of encoding information using fewer bits than the original representation. [2] Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy.

  4. Mar 17, 2022 · One of our developers bravely set out to write the ‘Hello World’ tutorial of PDF files, creating a PDF file from scratch manually, in a text editor. Follow the series: Part 1: PDF Objects and Data Types. Part 2: Structure of a PDF file. Part 2.5: Create a non working PDF.

  5. May 24, 2011 · C is a great choice for writing a compression program. You can use plenty of other languages too, though. Your computer probably can't directly address units of memory smaller than a byte (pretty much by definition), so working with bytes is probably a good choice. Some of how you work with the data will be affected by the compression algorithm ...

  6. Mar 6, 2024 · Step 2: Use Compression Software. Most computers come with built-in compression software. On Windows, you can compress files by right-clicking the selected files, navigating to 'Send to,' and then choosing 'Compressed (zipped) folder.'. Mac users can control-click the selected files and choose 'Compress.'.

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  8. Jul 27, 2021 · Compression reduces the cost of storage, increases the speed of algorithms, and reduces the transmission cost. Compression is achieved by removing redundancy, that is repetition of unnecessary data. Coding redundancy refers to the redundant data caused due to suboptimal coding techniques. Method illustration : To illustrate this method let’s ...

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