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.
An efficient image compression using modified embedded zero tree
The definitive guide to diff algorithms and patch formats
Volume 02, Issue 05 (May 2013) – IJERT
Data Compression - Lossless and Lossy Techniques
Applied Sciences, Free Full-Text
PDF] A Review on various Lossless Text Data Compression Techniques
Collective compression of images using averaging and transform
Compression is modeling and coding
A novel lossy image compression algorithm using multi-models
media./wp-content/cdn-uploads/202
Enriched J-Bit encrypting technique using data compression algorithms in data warehouse
Sensors, Free Full-Text
Enhancing the compression performance in medical images using a
Changes of model size, inference time and mAP during the process