A High Dynamic Range Image Fusion Method Based on Dual Gain Image. (2nd January 2023)

• Record Type: Journal Article
• Authors: Yuan, Linan; Wu, Wenbo; Dong, Shuli; He, Qiangmin; Zhang, Feiran
• Is Part Of: International journal of image and data fusion. Volume 14:Number 1(2023)
• Page Start: 15
• Page End: 37
• Publication Date: 2023-01-02
• Subjects: dual gain imaging -- image fusion -- Laplacian pyramid -- HDR image -- gradient operator; Image processing -- Periodicals; Multisensor data fusion -- Periodicals; Multisensor data fusion; Periodicals; 621.36705
• DOI: 10.1080/19479832.2022.2116492
• Languages: English
• ISSNs: 1947-9832

Abstract

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.