Abstract:
An image taken under extremely low illumination is modeled as obeying the Poissonian-Gaussian distribution. This paper proposes a method to recover a higher-quality color...View moreMetadata
Abstract:
An image taken under extremely low illumination is modeled as obeying the Poissonian-Gaussian distribution. This paper proposes a method to recover a higher-quality color moving-image sequence from Poissonian-Gaussian observations. The method performs virtual multiplex imaging, formed as a series of pixel binning and redundant subsampling, on the input sequence to increase its statistical reliability, denoises the multiple subsampled image sequences given by the redundant subsampling, and removes image blurs due to the pixel binning by super-resolution deburring to integrate the multiple denoised image sequences into an image sequence. Computer simulations show that the method successfully recovers a relatively-high-quality image sequence.
Date of Conference: 25-28 September 2016
Date Added to IEEE Xplore: 19 August 2016
ISBN Information:
Electronic ISSN: 2381-8549