Performace analysis of wavelet based restoration for passive millimeter-wave images

Hyuk Park; Sung-Hyun Kim; Manoj Kumar Singh; Jun-Ho Choi; Ho-Jin Lee; Yong-Hoon Kim

doi:10.1117/12.602667

19 May 2005 Performace analysis of wavelet based restoration for passive millimeter-wave images

Hyuk Park, Sung-Hyun Kim, Manoj Kumar Singh, Jun-Ho Choi, Ho-Jin Lee, Yong-Hoon Kim

Proceedings Volume 5789, Passive Millimeter-Wave Imaging Technology VIII; (2005) https://doi.org/10.1117/12.602667
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

A poor inherent resolution capability of the passive millimeter-wave (PMMW) imaging becomes a problem in many applications. The need for efficient post-processing to achieve resolution improvement is being increasingly recognized. To obtain high- and super-resolution PMMW imaging, many restoration methods have been developed and evaluated. In this paper, two recent advanced wavelet based methods are discussed; Fourier-wavelet regularized deconvolution (ForWaRD) and multiscale entropy method. The ForWaRD is a linear deconvolution algorithm that performs noise regularization via scalar shrinkage in both the Fourier and wavelet domains. The ForWaRD has been reported to be efficient and applicable to all ill-conditioned deconvolution problems. The multiscale entropy method, which generalized the wavelet-regularized iterative methods, is advance of the maximum entropy method (MEM), which is more effective and leads to efficient restoration. These two methods have not been applied and analyzed in the PMMW images which were highly blurred and low signal to noise circumstance. We have studied the restoration performance of wavelet-based methods in the PMMW imaging comparing with particular reference to the Lorentzian method. The evaluation has been performed with actual radiometer imaging with the 94 GHz mechanically scanned radiometer as well as simulation. In the actual radiometer imaging, a simple blind restoration method was exploited with blur identification. To compare the restored image fidelity, objective and subjective criteria were used, and the super-resolution capability was also checked. Comparison of the linear and non-linear methods revealed the preferable bandwidth extension of the non-linear methods. In the non-linear methods, the multiscale entropy and Lorentzian, they showed their strength and weakness.

Citation Download Citation

Hyuk Park, Sung-Hyun Kim, Manoj Kumar Singh, Jun-Ho Choi, Ho-Jin Lee, and Yong-Hoon Kim "Performace analysis of wavelet based restoration for passive millimeter-wave images", Proc. SPIE 5789, Passive Millimeter-Wave Imaging Technology VIII, (19 May 2005); https://doi.org/10.1117/12.602667

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available