Binary sampling ghost imaging: add random noise to fight quantization caused image quality decline
Optics
2018-10-01 v1
Abstract
When the sampling data of ghost imaging is recorded with less bits, i.e., experiencing quantization, decline of image quality is observed. The less bits used, the worse image one gets. Dithering, which adds suitable random noise to the raw data before quantization, is proved to be capable of compensating image quality decline effectively, even for the extreme binary sampling case. A brief explanation and parameter optimization of dithering are given.
Cite
@article{arxiv.1702.08687,
title = {Binary sampling ghost imaging: add random noise to fight quantization caused image quality decline},
author = {Junhui Li and Dongyue Yang and Bin Luo and Guohua Wu and Longfei Yin and Hong Guo},
journal= {arXiv preprint arXiv:1702.08687},
year = {2018}
}
Comments
8 pages, 7 figures