Adaptive Charbonnier superresolution method with robust edge preservation capabilities

Baraka Maiseli; Qiang Liu; Ogada A. Elisha; Huijun Gao

doi:10.1117/1.JEI.22.4.043027

16 December 2013 Adaptive Charbonnier superresolution method with robust edge preservation capabilities

Baraka Maiseli, Qiang Liu, Ogada A. Elisha, Huijun Gao

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 4, 043027 (December 2013). https://doi.org/10.1117/1.JEI.22.4.043027

Abstract

Superresolution (SR) is known to be an ill-posed inverse problem, which may be solved using some regularization techniques. We have proposed an adaptive regularization method, based on a Charbonnier nonlinear diffusion model to solve an SR problem. The proposed model is flexible because of its automatic capability to reap the strengths of either linear isotropic diffusion, Charbonnier model, or semi-Charbonnier model, depending on the local features of the image. On the contrary, the models proposed from other research works are fixed and hence less feature dependent. This makes such models insensitive to local structures of the images, thereby producing poor reconstruction results. Empirical results obtained from experiments, and presented here, show that the proposed method produces superresolved images which are more natural and contain well-preserved and clearly distinguishable image structures, such as edges. In comparison with other methods, the proposed method demonstrates higher performance in terms of the quality of images it generates.

Citation Download Citation

Baraka Maiseli, Qiang Liu, Ogada A. Elisha, and Huijun Gao "Adaptive Charbonnier superresolution method with robust edge preservation capabilities," Journal of Electronic Imaging 22(4), 043027 (16 December 2013). https://doi.org/10.1117/1.JEI.22.4.043027

Published: 16 December 2013

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