Adaptive image compression using Adaptive Huffman and LZW

Djuned Fernando Djusdek, Hudan Studiawan, Tohari Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

In this digital era, the need of storing data has increased rapidly. This circumstance is proportional to the size of files and their storage. In order to decrease the required big size of storage, the file size should be reduced by still considering the quality of the respective data. This can be done by implementing a compression algorithm, such as LZW. In this paper, we propose the pre-processing step which is used before the file is being compressed. This step includes bit selection by using mean, median, and mode for adaptively determining the number of replacing bits. According the experimental result performed to the standard test images, we are able to achieve 36.26 dB of PSNR and 2.9 of compression ratio.

Original languageEnglish
Title of host publicationProceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-106
Number of pages6
ISBN (Electronic)9781509013791
DOIs
Publication statusPublished - 24 Apr 2017
Event2016 International Conference on Information and Communication Technology and Systems, ICTS 2016 - Surabaya, Indonesia
Duration: 12 Oct 2016 → …

Publication series

NameProceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016

Conference

Conference2016 International Conference on Information and Communication Technology and Systems, ICTS 2016
Country/TerritoryIndonesia
CitySurabaya
Period12/10/16 → …

Keywords

  • Adaptive Huffman
  • LSB
  • LZW
  • image compression
  • lossy

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