A Multi-Focus Image Fusion Method Based On Fractal Dimension And Guided Filtering
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)(2020)
摘要
Fractal Dimension (FD) is widely used for image segmentation because of its successful approach toward quantifying texture information. In this paper, we present a FD-based multi-focus image fusion method that utilizes FD to identify focused regions, as the primary step for the multi-focus image fusion process. The algorithm aims to extract the local FD features of each multi-focus pair estimated using the differential box-counting method. A guided filter is employed to further specify the spatial information and increase the robustness of the FD features to noise. The outcome would be analyzed to achieve a focus map that identifies sharp regions in each partially focused image. Afterwards, the detected regions are combined into a single all-focused image. The experiments, along with the objective assessments, demonstrate the competitive performance of the proposed method compared to several state-of-the-art multi-focus image fusion methods.
更多查看译文
关键词
Differential box-counting, Guided filter, Fractal dimension, Multi-focus image fusion, Texture analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要