Paper
8 October 2015 CW-THz image contrast enhancement using wavelet transform and Retinex
Lin Chen, Min Zhang, Qi-fan Hu, Ying-Xue Huang, Hua-Wei Liang
Author Affiliations +
Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96751M (2015) https://doi.org/10.1117/12.2199505
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
Abstract
To enhance continuous wave terahertz (CW-THz) scanning images contrast and denoising, a method based on wavelet transform and Retinex theory was proposed. In this paper, the factors affecting the quality of CW-THz images were analysed. Second, an approach of combination of the discrete wavelet transform (DWT) and a designed nonlinear function in wavelet domain for the purpose of contrast enhancing was applied. Then, we combine the Retinex algorithm for further contrast enhancement. To evaluate the effectiveness of the proposed method in qualitative and quantitative, it was compared with the adaptive histogram equalization method, the homomorphic filtering method and the SSR(Single-Scale-Retinex) method. Experimental results demonstrated that the presented algorithm can effectively enhance the contrast of CW-THZ image and obtain better visual effect.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lin Chen, Min Zhang, Qi-fan Hu, Ying-Xue Huang, and Hua-Wei Liang "CW-THz image contrast enhancement using wavelet transform and Retinex", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96751M (8 October 2015); https://doi.org/10.1117/12.2199505
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Image enhancement

Terahertz radiation

Wavelets

Discrete wavelet transforms

Image contrast enhancement

Image analysis

RELATED CONTENT

Review of terahertz image enhancement techniques
Proceedings of SPIE (October 06 2017)
Image enhancement based on contourlet transform
Proceedings of SPIE (January 24 2019)
Medical image processing using wavelets
Proceedings of SPIE (October 27 2006)

Back to Top