chafey.github.io/2019/11/18/medical-image-compression-part-2.html

Preview meta tags from the chafey.github.io website.

Linked Hostnames

3

Search Engine Appearance

Google

https://chafey.github.io/2019/11/18/medical-image-compression-part-2.html

Medical Image Compression Part 2 - Deflate

In the previous article, we explored entropy encoders and how they work. We learned that there are just a few entropy encoding algorithms and data transformations are the main difference between different compression algorithms. This post will explore the deflate compression algorithm which utilizes an entropy encoder as well as two data transformations – run length encoding (RLE) and pattern matching. Deflate is perhaps the most popular compression algorithm in the world and is used by ZIP, gzip and even inside of the PNG image compression algorithm. RLE and pattern matching are foundational data transformations and are often used in other compression algorithms.



Bing

Medical Image Compression Part 2 - Deflate

https://chafey.github.io/2019/11/18/medical-image-compression-part-2.html

In the previous article, we explored entropy encoders and how they work. We learned that there are just a few entropy encoding algorithms and data transformations are the main difference between different compression algorithms. This post will explore the deflate compression algorithm which utilizes an entropy encoder as well as two data transformations – run length encoding (RLE) and pattern matching. Deflate is perhaps the most popular compression algorithm in the world and is used by ZIP, gzip and even inside of the PNG image compression algorithm. RLE and pattern matching are foundational data transformations and are often used in other compression algorithms.



DuckDuckGo

https://chafey.github.io/2019/11/18/medical-image-compression-part-2.html

Medical Image Compression Part 2 - Deflate

In the previous article, we explored entropy encoders and how they work. We learned that there are just a few entropy encoding algorithms and data transformations are the main difference between different compression algorithms. This post will explore the deflate compression algorithm which utilizes an entropy encoder as well as two data transformations – run length encoding (RLE) and pattern matching. Deflate is perhaps the most popular compression algorithm in the world and is used by ZIP, gzip and even inside of the PNG image compression algorithm. RLE and pattern matching are foundational data transformations and are often used in other compression algorithms.

  • General Meta Tags

    7
    • title
      Medical Image Compression Part 2 - Deflate | Chris Hafey
    • charset
      utf-8
    • X-UA-Compatible
      IE=edge
    • viewport
      width=device-width, initial-scale=1
    • generator
      Jekyll v3.8.7
  • Open Graph Meta Tags

    6
    • og:title
      Medical Image Compression Part 2 - Deflate
    • US country flagog:locale
      en_US
    • og:description
      In the previous article, we explored entropy encoders and how they work. We learned that there are just a few entropy encoding algorithms and data transformations are the main difference between different compression algorithms. This post will explore the deflate compression algorithm which utilizes an entropy encoder as well as two data transformations – run length encoding (RLE) and pattern matching. Deflate is perhaps the most popular compression algorithm in the world and is used by ZIP, gzip and even inside of the PNG image compression algorithm. RLE and pattern matching are foundational data transformations and are often used in other compression algorithms.
    • og:url
      /2019/11/18/medical-image-compression-part-2.html
    • og:site_name
      Chris Hafey
  • Link Tags

    3
    • alternate
      /feed.xml
    • canonical
      /2019/11/18/medical-image-compression-part-2.html
    • stylesheet
      /assets/main.css

Emails

1

Links

5