Edge detection ghost imaging using frequency-domain filtering

Abstract

Ghost imaging is a novel imaging method, which enables imaging under harsh environments or quickly extracting image information. The advantage of Ghost imaging in edge detection is that it can directly obtain the edge information of an unknown target. We propose an edge detection method based on two dimensional (2D) discrete cosine transform (DCT) - frequency domain filtering ghost imaging (FDFGI). This method combines the frequency-domain filtering and anisotropic gradient operator to extract the edge information of the unknown object under the under-sampling rate. Compared with traditional methods, this method has a higher signal-to-noise ratio of image edge information extracted under Gaussian noise. It can even achieve edge information extraction under an extremely low sampling rate of about 1.12%.