4.9 (189) In stock
The research paper provides a way to enhance the compression technique by merging RLE compression algorithm and incremental compression algorithm by increasing the compression rate as from RLE compression algorithm and incremental compression algorithm. — Now a day’s compression is becoming more popular, because it helps to reduce the size of data from its original size of the data. This paper describes the two phase encoding technique which compresses the sorted data more efficiently. The research paper provides a way to enhance the compression technique by merging RLE compression algorithm and incremental compression algorithm. In first phase the data is compressed by RLE (Run length encoding) algorithm that compresses the frequent occur data bits by short bits. In the second phase incremental compression algorithm stores the prefix of previous symbol from the current symbol and replaces with integer value. The proposed technique increases the compression rate as from RLE compression algorithm and incremental compression algorithm. In future the proposed mechanism will be very beneficial for compression large amount of data.
Data Compression - Lossless and Lossy Techniques
Enhancing the compression performance in medical images using a
Enriched J-Bit encrypting technique using data compression algorithms in data warehouse
Image compression standards
Advanced Lossless Text Compression System based on Dynamic Nibble Reduction Algorithm
Data Reduction in Data Mining: Techniques & Examples
PDF) An Advanced Text Encryption & Compression System Based on ASCII Values & Arithmetic Encoding to Improve Data Security
An efficient image compression using modified embedded zero tree
PDF) An Advanced Text Encryption & Compression System Based on ASCII Values & Arithmetic Encoding to Improve Data Security