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文章基本信息

  • 标题:Compression Using Huffman Coding
  • 作者:Mamta Sharma
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2010
  • 卷号:10
  • 期号:5
  • 页码:133-141
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:Data compression is also called as source coding. It is the process of encoding information using fewer bits than an uncoded representation is also making a use of specific encoding schemes. Compression is a technology for reducing the quantity of data used to represent any content without excessively reducing the quality of the picture. It also reduces the number of bits required to store and or transmit digital media. Compression is a technique that makes storing easier for large amount of data. There are various techniques available for compression in my paper work , I have analyzed Huffman algorithm and compare it with other common compression techniques like Arithmetic, LZW and Run Length Encoding.
  • 关键词:LZW; Huffman; DCT; RLE; JPEG; MPEG; Compression Formats; Quantization; Wavelets
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