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Author:

Rajput, Asif (Rajput, Asif.) | Li, Jianqiang (Li, Jianqiang.) | Akhtar, Faheem (Akhtar, Faheem.) | Hussain Khand, Zahid (Hussain Khand, Zahid.) | Hung, Jason C (Hung, Jason C.) | Pei, Yan (Pei, Yan.) | Börner, Anko (Börner, Anko.)

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EI Scopus SCIE

Abstract:

The idea of applying integer Reversible Colour Transform to increase compression ratios in lossless image compression is a well-established and widely used practice. Although various colour transformations have been introduced and investigated in the past two decades, the process of determining the best colour scheme in a reasonable time remains an open challenge. For instance, the overhead time (i.e. to determine a suitable colour transformation) of the traditional colour selector mechanism can take up to 50% of the actual compression time. To avoid such high overhead, usually, one pre-specified transformation is applied regardless of the nature of the image and/or correlation of the colour components. We propose a robust selection mechanism capable of reducing the overhead time to 20% of the actual compression time. It is postulated that implementing the proposed selection mechanism within the actual compression scheme such as JPEG-LS can further reduce the overhead time to 10%. In addition, the proposed scheme can also be extended to facilitate network-based compression–decompression mechanism over distributed systems. © The Author(s) 2022.

Keyword:

Cost reduction Color image processing Digital storage Image coding Color Metadata Image compression

Author Community:

  • [ 1 ] [Rajput, Asif]Center of Excellence in Robotics, Artificial Intelligence and Blockchain (CRAIB), Sukkur IBA University, Sukkur, Pakistan
  • [ 2 ] [Rajput, Asif]Deutsches Zentrum für Luft- und Raumfahrt (DLR), Berlin, Germany
  • [ 3 ] [Rajput, Asif]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 4 ] [Li, Jianqiang]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Akhtar, Faheem]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 6 ] [Akhtar, Faheem]Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan
  • [ 7 ] [Hussain Khand, Zahid]Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan
  • [ 8 ] [Hung, Jason C]Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan
  • [ 9 ] [Pei, Yan]School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan
  • [ 10 ] [Börner, Anko]Deutsches Zentrum für Luft- und Raumfahrt (DLR), Berlin, Germany

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Source :

International Journal of Distributed Sensor Networks

ISSN: 1550-1329

Year: 2022

Issue: 3

Volume: 18

2 . 3

JCR@2022

2 . 3 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:46

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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