Pruned improved eight-point approximate DCT for image encoding in visual sensor networks requiring only ten additions

  • Chaouki AraarEmail author
  • Salim Ghanemi
  • Mohamed Benmohammed
  • Hamza Atoui
Original Research Paper


A low-complexity pruned eight-point discrete cosine transform (DCT) approximation for image compression in visual sensor networks is introduced. The proposed transform consists of using an approximate DCT in combination with pruning approach. The aim of the former is to reduce the computational complexity by not computing the DCT exactly, while the latter aims at computing only the more important low-frequency coefficients. An algorithm for the fast computation of the proposed transform is developed. Only ten additions are required for both forward and backward transformations. The proposed pruned DCT transform exhibits extremely low computational complexity while maintaining competitive image compression performance in comparison with the state-of-the-art methods. An efficient parallel-pipelined hardware architecture for the proposed pruned DCT is also designed. The resulting design is implemented on Xilinx Virtex-6 XC6VSX475T-2ff1156 FPGA technology and evaluated for hardware resource utilization, power consumption, and real-time performance. All the metrics we investigated showed clear advantages of the proposed pruned approximate transform over the state-of-the-art competitors.


VSNs Image compression Pruning approach FPGA Low power consumption 



This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

11554_2019_918_MOESM1_ESM.xlsx (50 kb)
Supplementary material 1 (XLSX 49 kb)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Chaouki Araar
    • 1
    Email author
  • Salim Ghanemi
    • 1
  • Mohamed Benmohammed
    • 2
  • Hamza Atoui
    • 3
  1. 1.Computer Science DepartmentBadji Mokhtar-Annaba UniversitySidi AmarAlgeria
  2. 2.Department of Software Technologies and Information SystemsUniversity of Constantine 2-Abdelhamid MehriConstantineAlgeria
  3. 3.Electronics DepartmentBadji Mokhtar-Annaba UniversitySidi AmarAlgeria

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