The multi-scales nonlinear enhancement method of THz image

Zhang, Peng; Hu, Wei-liang; Luo, Wei; Zhang, Zhihui

doi:10.1109/icmtce.2013.6812451

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

Publication Types

Select...

Article1

Other1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the image quality is limited by uncertainty in the THz-time-domain spectroscopy (TDS) system and environment. Traditional methods [2][3][4] to deal with these problems are generally through de-noising, grey scale translation, or histogram equalisation. However, the image resolution is limited by the size of the lens, thus the radiation pattern of the THz beam should be taken into account as well.…”

mentioning

confidence: 99%

Multi‐feature enhancement for terahertz imaging

2019

View full text Add to dashboard Cite

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.

show abstract

mentioning

confidence: 99%