Open Access Open Access  Restricted Access Subscription Access

Performance Analysis of Data Compression Using Lossless Run Length Encoding


Affiliations
1 Computer Science Department N. V. Patel College of Pure and Applied Sciences Vallabh Vidyanagar, Anand, Gujarat, India
 

In a recent era of modern technology, there are many problems for storage, retrieval and transmission of data. Data compression is necessary due to rapid growth of digital media and the subsequent need for reduce storage size and transmit the data in an effective and efficient manner over the networks. It reduces the transmission traffic on internet also. Data compression try to reduce the number of bits required to store digitally. The various data and image compression algorithms are widely use to reduce the original data bits into lesser number of bits. Lossless data and image compression is a special class of data compression. This algorithm involves in reducing numbers of bits by identifying and eliminating statistical data redundancy in input data. It is very simple and effective method. It provides good lossless compression of input data. This is useful on data that contains many consecutive runs of the same values. This paper presents the implementation of Run Length Encoding for data compression.

Keywords

Technology, Transmission, Compression, Redundancy, Run Length Encoding.
User
Notifications
Font Size

  • Hiroj Naik, “A Review on Image Compression using Different Techniques”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 2, February 2015.
  • N. S. Sethi, H. Singh, Amarjit Kaur, “A Review on Data Compression Techniques”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 1, February 2015.
  • S. Porwal, Y. Chaudhary, J. Joshi and M. Jain, “Data Compression Methodologies for Lossless Data and Comparison between Algorithms”, International Journal of Engineering Science and Innovative Technology (IJESIT) Volume 2, Issue 2, March 2013
  • S. Shanmugasundaram and R. Lourdusamy, “A Comparative Study of Text Compression Algorithms” International Journal of Wisdom Based Computing, Vol. 1 (3), December 2011.
  • S. R. Kodituwakku and U. S. Amarasinghe, “Comparison of Lossless Data Compression Algorithms for Text Data”, Indian Journal of Computer Science and Engineering Vol. 1 No. 4 Page No. 416-425
  • R. Kaur and M. Goyal, “An Algorithm for Lossless Text Data Compression” International Journal of Engineering Research & Technology (IJERT), Vol. 2 Issue 7, July - 2013
  • H. Altarawneh and M. Altarawneh, “Data Compression Techniques on Text Files: A Comparison Study”, International Journal of Computer Applications, Volume 26 No.5, July 2011.
  • K. Rastogi, K. Sengar, “Analysis and Performance Comparison of Lossless Compression Techniques for Text Data”, International Journal of Engineering Technology and Computer Research (IJETCR) 2 (1) 2014, 16-19.
  • Amandeep Singh Sidhu, Er. Meenakshi Garg, “Research Paper on Text Data Compression Algorithm using Hybrid Approach”, International Journal of Computer Science and Mobile Computing, Vol. 3, Issue. 12, December 2014, page no. 01 – 10.

Abstract Views: 341

PDF Views: 0




  • Performance Analysis of Data Compression Using Lossless Run Length Encoding

Abstract Views: 341  |  PDF Views: 0

Authors

Chetan R. Dudhagara
Computer Science Department N. V. Patel College of Pure and Applied Sciences Vallabh Vidyanagar, Anand, Gujarat, India
Hasamukh B. Patel
Computer Science Department N. V. Patel College of Pure and Applied Sciences Vallabh Vidyanagar, Anand, Gujarat, India

Abstract


In a recent era of modern technology, there are many problems for storage, retrieval and transmission of data. Data compression is necessary due to rapid growth of digital media and the subsequent need for reduce storage size and transmit the data in an effective and efficient manner over the networks. It reduces the transmission traffic on internet also. Data compression try to reduce the number of bits required to store digitally. The various data and image compression algorithms are widely use to reduce the original data bits into lesser number of bits. Lossless data and image compression is a special class of data compression. This algorithm involves in reducing numbers of bits by identifying and eliminating statistical data redundancy in input data. It is very simple and effective method. It provides good lossless compression of input data. This is useful on data that contains many consecutive runs of the same values. This paper presents the implementation of Run Length Encoding for data compression.

Keywords


Technology, Transmission, Compression, Redundancy, Run Length Encoding.

References





DOI: https://doi.org/10.13005/ojcst%2F10.03.22