Multi-focus image fusion based on depth estimation in HSV space

Tingna Kuang; Haiyang Zhou; Feihong Yu

doi:10.1117/12.2575698

5 November 2020 Multi-focus image fusion based on depth estimation in HSV space

Tingna Kuang, Haiyang Zhou, Feihong Yu

Proceedings Volume 11567, AOPC 2020: Optical Sensing and Imaging Technology; 115670Q (2020) https://doi.org/10.1117/12.2575698
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China

Abstract

A robust multi-focus image fusion method is proposed to generate an all-in-focus image with all objects in focus by merging multiple images. The proposed method first estimates local focus maps using a novel measure of Gaussian model combined with joint bilateral filtering in HSV space. Then, a propagation process is conducted to obtain accurate focus maps based on a traditional natural image matting model that makes full use of the spatial information. The fused all-infocus image is finally generated by a focus-selected strategy. Experimental results demonstrate that the proposed method has state-of-the-art performance for multi-focus image fusion under various situations encountered in practice, even in cases with little edge information.

Citation Download Citation

Tingna Kuang, Haiyang Zhou, and Feihong Yu "Multi-focus image fusion based on depth estimation in HSV space", Proc. SPIE 11567, AOPC 2020: Optical Sensing and Imaging Technology, 115670Q (5 November 2020); https://doi.org/10.1117/12.2575698

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