High- Performance Approximate DCT Using Cntfet- Based Adders and Subtractors for Image Compression

DOI

10.2991/978-94-6463-858-5_189How to use a DOI?

Keywords

Approximate full adder; approximate subtractor; multiplier-free DCT; image processing; CNTFET; Medical images

Abstract

The approximate full adder (FA) and subtractor of about 8 transistors each with small areas respectively. The FA and subtractor make very few errors, three errors in the FA and two errors in the subtractor, so they are adequate for approximate computing applications. In order to achieve increased speed, output swing and drivability, the structures include gate diffusion input (GDI) and dynamic threshold (DT) methods employing carbon nanotube field-effect transistor (CNTFET) technology. These devices are also integrated into an Eight-bit ripple carry adder and an Eight-bit subtractor, respectively, to create a new approximate multiplier-free discrete cosine transform (DCT) based only on addition, hence considerably lowering computational complexity. The Eight-point DCT proposed shows low power consumption(40% lower than CMOS), Delay (30%lower than CMOS) and good trade-off between performance and error tolerance, and hence is suitable for image compression and noise reduction in medical imaging.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - R. Sireesha
AU  - C. Venkataiah
AU  - P. Sai Latha
AU  - P. Vishnu vardhana Achari
AU  - A. Sowmya
AU  - P. Udayeni
PY  - 2025
DA  - 2025/11/04
TI  - High- Performance Approximate DCT Using Cntfet- Based Adders and Subtractors for Image Compression
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2268
EP  - 2278
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_189
DO  - 10.2991/978-94-6463-858-5_189
ID  - Sireesha2025
ER  -