Image restoration based on wavelets and curvelet

Yang Yang; Bo Chen

doi:10.1117/12.2071820

4 November 2014 Image restoration based on wavelets and curvelet

Yang Yang, Bo Chen

Author Affiliations +

Proceedings Volume 9273, Optoelectronic Imaging and Multimedia Technology III; 92733I (2014) https://doi.org/10.1117/12.2071820
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

The performance of high-resolution imaging with large optical instruments is severely limited by atmospheric turbulence. Adaptive optics (AO) offers a real-time compensation for turbulence. However, the correction is often only partial, and image restoration is required for reaching or nearing to the diffraction limit. Wavelet-based techniques have been applied in atmospheric turbulencedegraded image restoration. However, wavelets do not restore long edges with high fidelity while curvelets are challenged by small features. Loosely speaking, each transform has its own area of expertise and this complementarity may be of great potential. So, we expect that the combination of different transforms can improve the quality of the result. In this paper, a novel deconvolution algorithm, based on both the wavelet transform and the curvelet transform (NDbWC). It extends previous results which were obtained for the image wavelet-based restoration. Using these two different transformations in the same algorithm allows us to optimally detect in tire same time isotropic features, well represented by the wavelet transform, and edges better represented by the curvelet transform. The NDbWC algorithm works better than classical wavelet-regularization method in deconvolution of the turbulence-degraded image with low SNR.

Citation Download Citation

Yang Yang and Bo Chen "Image restoration based on wavelets and curvelet", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92733I (4 November 2014); https://doi.org/10.1117/12.2071820

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