Compressive sampling on the Fourier domain as a method for increasing image signal-to-noise ratio

Authors

  • Roland Albert A. Romero National Institute of Physics, University of the Philippines Diliman
  • Giovanni A. Tapang National Institute of Physics, University of the Philippines Diliman
  • Caesar A. Saloma National Institute of Physics, University of the Philippines Diliman

Abstract

Compressive sampling using measurements taken from a line mask on the Fourier domain is used to reconstruct test images with Gaussian, speckle, 1/f, and uniform noise. Using signal-to-noise ratio (SNR), and Linfoot’s criteria as similarity measurements, we are able to show that the images with noise of varying strengths sampled at 5%, 10%, 20% and 30% of Nyquist criteria are generally better compared to completely sampled images.

Proceedings SPP 2016 Cover

Downloads

Published

2016-08-18

Issue

2016: Proceedings of the 34th Samahang Pisika ng Pilipinas Physics Conference

Section

Poster Session PA

License

By submitting their manuscript to the Samahang Pisika ng Pilipinas (SPP) for consideration, the Authors warrant that their work is original, does not infringe on existing copyrights, and is not under active consideration for publication elsewhere.
Upon acceptance of their manuscript, the Authors further agree to grant SPP the non-exclusive, worldwide, and royalty-free rights to record, edit, copy, reproduce, publish, distribute, and use all or part of the manuscript for any purpose, in any media now existing or developed in the future, either individually or as part of a collection.
All other associated economic and moral rights as granted by the Intellectual Property Code of the Philippines are maintained by the Authors.

How to Cite

[1]
“Compressive sampling on the Fourier domain as a method for increasing image signal-to-noise ratio”, Proc. SPP, vol. 34, no. 1, p. SPP-2016-PA-14, Aug. 2016, Accessed: Mar. 28, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2016-PA-14