Multi‐feature enhancement for terahertz imaging

Abstract

A terahertz (THz) imaging enhancement approach is presented by using multi-features of images. First, a set of THz images are reconstructed from a single data collection using THz time-domain spectroscopy system by selecting different features. Second, the THz beam model is considered to improve image resolution, which is realised via a Wiener de-convolution operation. Third, an approach to suppress the noise and enhance image feature is adopted to achieve a better image quality. Finally, three high-quality images are selected from the new image set as red, green, and blue channels, respectively, to form a pseudo-colour image. The experimental results suggest that the pseudo-colour images show multiple features of the sample and achieve a better image quality.