General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2012 Vol.4(6): 1039-1042 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.634

Very Low Cost Design and Implementation of Block Truncation Coding for Image Compression

Sajed Zadeh Dadashi and Sahar Zadeh Dadashi

Abstract—One of image compression algorithms is block truncation coding that has lower efficiency in compare with some other algorithms, for example, JPEG and JPEG2000, but also has low cost and complexity and can be used in many applications. Many of image compression algorithms were implemented using FPGAs to work in fast digital systems. In this paper, BTC is implemented using some parallel microcontrollers that have acceptable speed and very low cost. AVR microcontroller has many applicable instructions, but has not the division instruction. Using the proposed division algorithm in this paper, this operation can be executed very fast.

Index Terms—BTC, block average, bit map, AVR microcontrollers, division.

The authors are with the Department of Computer Engineering, Young Researchers Club, Roudsar and Amlash Branch, Islamic Azad University, Roudsar, Iran (e-mail: sajed.dadashi@ yahoo.com, sahar_zdp@yahoo.com).

[PDF]

Cite: Sajed Zadeh Dadashi and Sahar Zadeh Dadashi, "Very Low Cost Design and Implementation of Block Truncation Coding for Image Compression," International Journal of Computer Theory and Engineering vol. 4, no. 6, pp. 1039-1042, 2012.


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