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Proceedings Paper

CW-THz image contrast enhancement using wavelet transform and Retinex
Author(s): Lin Chen; Min Zhang; Qi-fan Hu; Ying-Xue Huang; Hua-Wei Liang
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Paper 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.

Paper Details

Date Published: 8 October 2015
PDF: 8 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96751M (8 October 2015); doi: 10.1117/12.2199505
Show Author Affiliations
Lin Chen, Shenzhen Univ. (China)
Min Zhang, Shenzhen Univ. (China)
Qi-fan Hu, Shenzhen Univ. (China)
Ying-Xue Huang, Shenzhen Univ. (China)
Hua-Wei Liang, Shenzhen Univ. (China)


Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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