Decomposed Multilateral Filtering for Accelerating Filtering with Multiple Guidance Images
Haruki Nogami,
Yamato Kanetaka,
Yuki Naganawa
et al.
Abstract:This paper proposes an efficient algorithm for edge-preserving filtering with multiple guidance images, so-called multilateral filtering. Multimodal signal processing for sensor fusion is increasingly important in image sensing. Edge-preserving filtering is available for various sensor fusion applications, such as estimating scene properties and refining inverse-rendered images. The main application is joint edge-preserving filtering, which can preferably reflect the edge information of a guidance image from a… Show more
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