Research on HDR image fusion algorithm based on Laplace pyramid weight transform with extreme low-light CMOS

Wen Guan; Li Li; Weiqi Jin; Su Qiu; Yan Zou

doi:10.1117/12.2199818

8 October 2015 Research on HDR image fusion algorithm based on Laplace pyramid weight transform with extreme low-light CMOS

Wen Guan, Li Li, Weiqi Jin, Su Qiu, Yan Zou

Author Affiliations +

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 967524 (2015) https://doi.org/10.1117/12.2199818
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

Extreme-Low-Light CMOS has been widely applied in the field of night-vision as a new type of solid image sensor. But if the illumination in the scene has drastic changes or the illumination is too strong, Extreme-Low-Light CMOS can’t both clearly present the high-light scene and low-light region. According to the partial saturation problem in the field of night-vision, a HDR image fusion algorithm based on the Laplace Pyramid was researched. The overall gray value and the contrast of the low light image is very low. We choose the fusion strategy based on regional average gradient for the top layer of the long exposure image and short exposure image, which has rich brightness and textural features. The remained layers which represent the edge feature information of the target are based on the fusion strategy based on regional energy. In the process of source image reconstruction with Laplacian pyramid image, we compare the fusion results with four kinds of basal images. The algorithm is tested using Matlab and compared with the different fusion strategies. We use information entropy, average gradient and standard deviation these three objective evaluation parameters for the further analysis of the fusion result. Different low illumination environment experiments show that the algorithm in this paper can rapidly get wide dynamic range while keeping high entropy. Through the verification of this algorithm features, there is a further application prospect of the optimized algorithm. Keywords: high dynamic range imaging, image fusion, multi-exposure image, weight coefficient, information fusion, Laplacian pyramid transform.

Citation Download Citation

Wen Guan, Li Li, Weiqi Jin, Su Qiu, and Yan Zou "Research on HDR image fusion algorithm based on Laplace pyramid weight transform with extreme low-light CMOS", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 967524 (8 October 2015); https://doi.org/10.1117/12.2199818

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