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New Lossless Compression Method using Cyclic Reversible Low Contrast Mapping (CRLCM)

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 6 No. 6 (2016)

DOI
10.11591/ijece.v6i6.12848
ISSN
2088-8708, 2088-8708
Published
2016-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc-nd/4.0

Abstract

In general, the compression method is developed to reduce the redundancy of data. This study uses a different approach to embed some bits of datum in image data into other datum using a Reversible Low Contrast Mapping (RLCM) transformation. Besides using the RLCM for embedding, this method also applies the properties of RLCM to compress the datum before it is embedded. In its algorithm, the proposed method engages Queue and Recursive Indexing. The algorithm encodes the data in a cyclic manner. In contrast to RLCM, the proposed method is a coding method as Huffman coding. This research uses publicly available image data to examine the proposed method. For all testing images, the proposed method has higher compression ratio than the Huffman coding.

Collaboration network of the authors

40 authors · 70 co-authorship links · 26 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Institut Teknologi Sepuluh Nopember
  • University of Brawijaya
  • Universitas Airlangga
  • Hasanuddin University
  • University of Indonesia
  • Universitas Halu Oleo
  • Universitas Sembilanbelas November Kolaka
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nanik SuciatiInstitut Teknologi Sepuluh Nopember13
Diana PurwitasariInstitut Teknologi Sepuluh Nopember9
Siti RochimahInstitut Teknologi Sepuluh Nopember4
Anny YuniartiInstitut Teknologi Sepuluh Nopember3
Hari GinardiInstitut Teknologi Sepuluh Nopember2
Ahmad SaikhuInstitut Teknologi Sepuluh Nopember2
Narandha Arya RanggiantoInstitut Teknologi Sepuluh Nopember2
Sherly Rosa AnggraeniInstitut Teknologi Sepuluh Nopember2
Erika MaulidiyaInstitut Teknologi Sepuluh Nopember2
Hilya TsaniyaInstitut Teknologi Sepuluh Nopember2
Riyanarto SarnoInstitut Teknologi Sepuluh Nopember2
Eha Renwi AstutiUniversitas Airlangga2
Ramadhan Hardani PutraUniversitas Airlangga2
Ahmad Hayam BrilianAffiliation unknown2
Aditya BagusmulyaInstitut Teknologi Sepuluh Nopember2
Bilqis AmaliahInstitut Teknologi Sepuluh Nopember1
M. Rahmat WidyantoUniversity of Indonesia1
Jayanti Yusmah SariUniversitas Halu Oleo1
Mutmainnah MuchtarUniversitas Sembilanbelas November Kolaka1
Evan TanuwijayaInstitut Teknologi Sepuluh Nopember1
Yuita Arum SariUniversity of Brawijaya1
Ratih Kartika DewiUniversity of Brawijaya1
Yudhi PurwanantoInstitut Teknologi Sepuluh Nopember1
Junaidi JunaidiNorth Sumatra Islamic University1
Faida RoyaniAffiliation unknown1
Dewi RosidaAffiliation unknown1
Ricky Eka PutraUniversitas Negeri Surabaya1
Evy Kamilah RatnasariInstitut Teknologi Sepuluh Nopember1
Michael Ndung'uAffiliation unknown1
Gigih Prasetyo CahyonoAffiliation unknown1
Nur HayatinUniversitas Muhammadiyah Malang1
Mustika MentariInstitut Teknologi Sepuluh Nopember1
Ahmad Hifdhul AbrorUIN Sunan Ampel Surabaya1
Gama Wisnu FajariantoInstitut Teknologi Sepuluh Nopember1
Rizal Setya PerdanaUniversity of Brawijaya1
Fahrur RoziState University of Semarang1
Stendy Budi Hartono SakurPoliteknik Negeri Nusa Utara1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Oct 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
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