Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1210001(2022)
Infrared and Visible Image Fusion Method Based on Rolling Guidance Filter and Convolution Sparse Representation
Aiming at the problems that the edges of the targets object are blurred and the details are lost in the fusion process of infrared and visible images, an infrared and visible image fusion method based on rolling guidance filter (RGF) and convolution sparse representation (CSR) is proposed. First, RGF and Gaussian filter are used to decompose the matched source images. Second, aiming at the base layers, the comparison saliency map and weight matrix are constructed to fuse. Thereafter, aiming at the detail layers, the alternating direction multiplier method (ADMM) is used to solve the convolution sparse coefficients and the feature response coefficients are fused using CSR fusion rule. Finally, the graph of the fusion result is rebuilt. The experimental results show that the proposed method can avoid losing the details caused by blurring at the edge of the objects, preserve the contrast and the edge texture information of the source images, and improve the objective evaluation indexes.
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Peipei Pei, Yanchun Yang, Jianwu Dang, Yangping Wang. Infrared and Visible Image Fusion Method Based on Rolling Guidance Filter and Convolution Sparse Representation[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210001
Category: Image Processing
Received: Apr. 2, 2021
Accepted: Jun. 2, 2021
Published Online: May. 23, 2022
The Author Email: Yang Yanchun (yangyanchun102@sina.com)