IEEE Transactions on Image Processing· 2013Q1
Image Fusion With Guided Filtering
- 1,756citations
- Q1SCImago
- 2013year
Short summary
A novel guided filtering-based weighted average technique achieves state-of-the-art image fusion performance by decomposing images into base and detail layers.
AI-generated from the title and abstract; the full text is not read.
Key points
- Proposes a two-scale image decomposition into base and detail layers.
- Introduces a guided filtering-based weighted average technique for layer fusion.
- Demonstrates state-of-the-art performance in fusing multispectral, multifocus, multimodal, and multiexposure images.
AI-generated from the title and abstract; the full text is not read.
Abstract
A fast and effective image fusion method is proposed for creating a highly informative fused image through merging multiple images. The proposed method is based on a two-scale decomposition of an image into a base layer containing large scale variations in intensity, and a detail layer capturing small scale details. A novel guided filtering-based weighted average technique is proposed to make full use of spatial consistency for fusion of the base and detail layers. Experimental results demonstrate that the proposed method can obtain state-of-the-art performance for fusion of multispectral, multifocus, multimodal, and multiexposure images.
The authors' abstract, as published at the source. IEEE Transactions on Image Processing, 2013 · DOI ↗
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Field: Media Technology
Media TechnologyEngineering