Optimal fusion method for multi-focus images

Jianting Wen; Haifeng Gong; Bing Zhang

doi:10.1117/12.749829

15 November 2007 Optimal fusion method for multi-focus images

Jianting Wen, Haifeng Gong, Bing Zhang

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67871G (2007) https://doi.org/10.1117/12.749829
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper presents a fusion method for multi-focus images to produce a new clear image for the scene. First we analyze the defocused image formation process and obtain a set of ill-posed equations. By imposing some constraints, they become well-posed and the fusion task is converted to a simple optimization problem. Then the optimization problem, which minimizes the gradient difference and intensity difference with respect to the objective gradient field and intensity constraints, is equivalent to the optimal fusion method for multispectral image fusion. So we construct the objective gradient field and the intensity constraints by clarity analysis and model change respectively and obtain the minimization result by the iterative optimization steps of optimal fusion. At last, the experiments convincingly demonstrated that the proposed method has better tolerance to misalignment and noises than wavelet fusion.

Citation Download Citation

Jianting Wen, Haifeng Gong, and Bing Zhang "Optimal fusion method for multi-focus images", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871G (15 November 2007); https://doi.org/10.1117/12.749829

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