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Abstract: The Weighted guided image filter (WGIF) avoids halo artifacts, which is drawback of Guided image filter. (GIF) at a cost of increment on running times. In this paper, a speedup method is included, which can speed up WGIF from O (N) time to O (N/s2). It can applicable in all applications in which WGIF can be used.
The guided filter is also a more generic concept beyond smoothing: it can transfer the structures of the guidance image to the filtering output, enabling new filtering applications like dehazing and guided feathering. Moreover, the guided filter naturally has a fast and non-approximate linear time algorithm, regardless of the
5 May 2015 Abstract The guided filter is a technique for edge-aware image filtering. Because of its nice visual quality, fast speed, and ease of implementation, the guided filter has witnessed various applications in real products, such as image edit- ing apps in phones and stereo reconstruction, and has been included in
Usage. The interface consists of one simple function fastGuidedFilter and a class FastGuidedFilter . If you have multiple images to filter with the same guidance image then use FastGuidedFilter class to avoid extra computations on initialization stage. The code supports single-channel and 3-channel (color) guidance images
Fast-Guided-Image-Filter - Implementation of "Fast Guided Image Filter" with OpenCV 3.0 (Java API)
2 Oct 2012 The guided filter is also a more generic concept beyond smoothing: It can transfer the structures of the guidance image to the filtering output, enabling new filtering applications like dehazing and guided feathering. Moreover, the guided filter naturally has a fast and nonapproximate linear time algorithm,
22 Dec 2014 The interface consists of one simple function guidedFilter and a class GuidedFilter . If you have multiple images to filter with the same guidance image then use GuidedFilter class to avoid extra computations on initialization stage. The code supports single-channel and 3-channel (color) guidance images
The guided filter is a technique for edge-aware image filtering. Because of its nice visual quality, fast speed, and ease of implementation, the guided filter has witnessed various applications in real products, such as image editing apps in phones and stereo reconstruction, and has been included in official MATLAB and
I have been using guided image filtering for a while. At first I implemented it myself in C. After OpenCV 3.0 included Guided Filter, I tested it and compared the results with my own implementation and the MATLAB version offered at the author's website. The OpenCV 3.0's official version of Guided Filter is quite fast. But I found
5 May 2015 Abstract: The guided filter is a technique for edge-aware image filtering. Because of its nice visual quality, fast speed, and ease of implementation, the guided filter has witnessed various applications in real products, such as image editing apps in phones and stereo reconstruction, and has been included in
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