A High Dynamic Range Image Fusion Method Based on Dual Gain Image

ABSTRACT

For a camera with automatic gain control, two images with high and low optical gain can be output at the same exposure time. Due to the small gain value, most of target details are hidden in the dark pixels for the low gain image, and the brightness saturation usually appears in high gain image for the high luminance areas. To obtain the essential information from the dual gain images, a generation method of high dynamic range image based on dual gain image was developed. The method is composed of five parts, including enhancement of image detail, establishment of Laplacian pyramid, selection of fusion operator, reconstruction of fusion pyramid and adjustment of image contrast. Results showed that combination of the gradient operator for N-1 layer and the neighbourhood filter operator for the Nth layer had better fusion effect. Moreover, based on the analysis of image information entropy and clarity, the fusion efficiency was calculated, and the fusion efficiency of Mertens’s method, Jiang’s method, Zhang’s method, Goshtasby’s method and the presented method was 30.5%, 33.5%, 39.5%, 51% and 99%, indicating that the HDR fusion method based on dual gain image is reliable.

KEYWORDS:

• dual gain imaging
• image fusion
• Laplacian pyramid
• HDR image
• gradient operator

Acknowledgments

Thanks for the supervisor and all seniors and colleagues from image group for providing supporting and assistance during the writing. We would like to express thanks to the anonymous reviewers for their voluntary work and the constructive comments to improve this manuscript. The authors report there are no competing interests to declare.

Disclosure statement

No potential conflict of interest was reported by the author(s).