Temporal G-Neighbor Filtering for Analog Domain Noise Reduction in Astronomical Videos

Kamilla Aliakhmet, Alex Pappachen James

Research output: Contribution to journalArticle

Abstract

Astronomical images obtained from existing cameras are subjected to various types of noise artifacts. Impulse noise is one of them and it is visible as dark and bright spots on the image. Common practice to remove impulse noise is to perform averaging of several frames. This will increase signal-to-noise ratio of the image, however, impulse noise might still be present. The noisy image will hinder the performance of further processing operations such as edge detection. In this brief, variable pixel G-neighbor temporal filtering circuit is proposed to improve the quality of astronomical images with the impulse noise. As compared to conventional averaging of frames in the time domain, where all pixels are summed, the proposed circuit select pixels in each frame that are closest to the reference pixel. The circuit operates in the analog domain, and it was designed and tested using 180-nm CMOS technology. Simulations demonstrate improvement in the peak-signal-to-noise (PSNR) ratio, mean-squared-error (MSE) and structural similarity index measure (SSIM) as compared to conventional averaging of frames.

Original languageEnglish
Article number8675508
Pages (from-to)868-872
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume66
Issue number5
DOIs
Publication statusPublished - May 1 2019

Fingerprint

Impulse noise
Noise abatement
Pixels
Networks (circuits)
Signal to noise ratio
Edge detection
Cameras
Processing

Keywords

  • astronomical images
  • denoising
  • edge detection
  • Temporal filtering

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Temporal G-Neighbor Filtering for Analog Domain Noise Reduction in Astronomical Videos. / Aliakhmet, Kamilla; James, Alex Pappachen.

In: IEEE Transactions on Circuits and Systems II: Express Briefs, Vol. 66, No. 5, 8675508, 01.05.2019, p. 868-872.

Research output: Contribution to journalArticle

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