A lossless image compression technique using generic peano pattern mask tree

Mohammad Kabir Hossain, Shams M. Imam, Khondker Shajadul Hasan, William Perrizo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Digital Image processing has become ubiquitous in our daily life and the demands to produce and process images are ever increasing. Large amounts of space are required to store these images. Image compression techniques are in high demand as they allow reduction in this storage space. The basis for image compression, as is for most other compression techniques, is to remove redundant and unimportant data. Lossless image compression techniques retain the original information in compact form and do not introduce any errors when decompressed. In this paper, we discuss such a lossless technique using a data structure that we name "Generic Peano Pattern Mask Tree". It is an improvement over a previously discussed Lossless Image compression technique - "Peano Pattern Mask Tree". Both these structures are based on the data structure - Peano Mask Tree.

Original languageEnglish (US)
Title of host publicationProceedings of 11th International Conference on Computer and Information Technology, ICCIT 2008
Pages317-322
Number of pages6
DOIs
StatePublished - Dec 1 2008
Externally publishedYes
Event11th International Conference on Computer and Information Technology, ICCIT 2008 - Khulna, Bangladesh
Duration: Dec 25 2008Dec 27 2008

Publication series

NameProceedings of 11th International Conference on Computer and Information Technology, ICCIT 2008

Conference

Conference11th International Conference on Computer and Information Technology, ICCIT 2008
CountryBangladesh
CityKhulna
Period12/25/0812/27/08

Keywords

  • Data mining Ready
  • Generic Peano Pattern Mask Tree
  • Lossless Image Compression
  • Peano Mask Tree
  • Peano Pattern Mask Tree
  • Peano Tree

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