dct approximation
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2020 ◽  
Vol 79 (11-12) ◽  
pp. 7615-7631
Author(s):  
Nabila Brahimi ◽  
Toufik Bouden ◽  
Tahar Brahimi ◽  
Larbi Boubchir


2020 ◽  
Vol 27 ◽  
pp. 965-969
Author(s):  
Lucas A. Thomaz ◽  
Pedro A. A. Assuncao ◽  
Luis M. N. Tavora ◽  
Sergio M. M. de Faria




2018 ◽  
Vol 30 (3) ◽  
pp. 1363-1394 ◽  
Author(s):  
Raíza S. Oliveira ◽  
Renato J. Cintra ◽  
Fábio M. Bayer ◽  
Thiago L. T. da Silveira ◽  
Arjuna Madanayake ◽  
...  


Author(s):  
Maher Jridi ◽  
Sonda Ben Jdidia ◽  
Fatma Belghith ◽  
Nouri Masmoudi


2016 ◽  
Vol 11 (2) ◽  
pp. 227-233 ◽  
Author(s):  
Thiago L. T. da Silveira ◽  
Raíza S. Oliveira ◽  
Fábio M. Bayer ◽  
Renato J. Cintra ◽  
Arjuna Madanayake


2016 ◽  
Vol 25 (08) ◽  
pp. 1650088 ◽  
Author(s):  
Khaoula Mechouek ◽  
Nasreddine Kouadria ◽  
Noureddine Doghmane ◽  
Nadia Kaddeche

Energy consumption is a critical problem affecting the lifetime of wireless image sensor networks (WISNs). In such systems, images are usually compressed using JPEG standard to save energy during transmission. And since DCT transformation is the most computationally intensive part in the JPEG technique, several approximation techniques have been proposed to further decrease the energy consumption. In this paper, we propose a low-complexity DCT approximation method which is based on the combination of the rounded DCT with a pruned approach. Experimental comparison with recently proposed schemes, using Atmel Atmega128L platform, shows that our method requires less arithmetic operations, and hence less processing time and/or the energy consumption while providing better performance in terms of PSNR metric.



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