A novel approach toward optimized image processing using sigma delta modulation

  • Aneela Pathan Department of Electronic Engineering, The University of Larkana, Larkana, Pakistan
  • Tayab D Memon Center for Artificial Intelligence Research and Optimization, Faculty of Design and Creative Technology, Torrens University, Melbourne, Australia
  • Rizwan Aziz Department of Electronic Engineering, The University of Larkana, Larkana, Pakistan
  • Syed Haseeb Shah Department of Electronic Engineering, The University of Larkana, Larkana, Pakistan

Abstract

Image processing has widespread uses practically in every branch of science and arts. Processing images is more difficult than processing sound or data as there are more bits in the high pixel quality image. It requires more space to store the image, more bandwidth to transmit it, and more time and resources to process. An image's complexity may decrease if its bit size is decreased. Sigma-delta modulation, or SDM for short, is an alternative method of minimizing data-word length to compression. Digital signal processing (DSP) systems can be made simpler by using the SDM approach, which was first created for analog to digital conversion (ADC). This paper suggests a novel way to use SDM in MATLAB for improved image processing. Consequently, the suggested single-bit SDM-based image arithmetic architecture is tested and compared with the traditional image arithmetic techniques. Additionally, to see the noisy channel influence on the traditional and proposed systems, some statistical metrics are also studied at different noise variance values, such as signal to noise ratio (SNR), mean square error (MSE), and Peak SNR value. The suggested architecture for the SDM-based image arithmetic precisely matches the addition and subtraction results of the conventional design, even yielding a higher SNR and the same Peak SNR as the traditional methods. In contrast, the outcomes of division and multiplication fall within an acceptable range. For better results the over-sampling ratio (OSR), an inherent characteristic of SDM must be increased at the cost of more processing cycles. Therefore, the trade-off between fewer resources, limited transmission bandwidth, and comparatively more cycles is provided by the SDM-based technique.

Published
Apr 7, 2024
How to Cite
PATHAN, Aneela et al. A novel approach toward optimized image processing using sigma delta modulation. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 43, n. 2, p. 195-204, apr. 2024. ISSN 2413-7219. Available at: <https://publications.muet.edu.pk/index.php/muetrj/article/view/3139>. Date accessed: 24 may 2024. doi: http://dx.doi.org/10.22581/muet1982.3139.
Section
Articles
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License