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

Authors

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

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Issue

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

Article ID

SPP-2016-PA-14

Section

Poster Session PA

Published

2016-08-18

How to Cite

[1]

RAA Romero, GA Tapang, and CA Saloma, Compressive sampling on the Fourier domain as a method for increasing image signal-to-noise ratio, Proceedings of the Samahang Pisika ng Pilipinas 34, SPP-2016-PA-14 (2016). URL: https://proceedings.spp-online.org/article/view/SPP-2016-PA-14.