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![Page 1: Applications :](https://reader036.fdocuments.us/reader036/viewer/2022070400/568134ba550346895d9bd96b/html5/thumbnails/1.jpg)
Applications:
Speed (1MB image, tested on Geforce 8800 GTX): Without spatial subsampling: 30 ~120 fps.
It is the same as the proposed O(1) bilateral filtering method except:
1. The spatial and range functions are not Gaussian:
2. No normalization step.
3. The interpolation step is different. The intensity corresponding to the minimum absolute value of spatial responses is selected as correct.
Real-Time O(1) Bilateral & Median Filtering
Qingxiong Yang*, Kar-Han Tan†, Narendra Ahuja**University of Illinois at Urbana Champaign, †HP Labs
Contribution 1: O(1) bilateral filtering method.
Contribution 2: O(1) median filtering method.
(a) Original. (b) Spatial filtering. (c) Normalization & (d) Final.
interpolation.
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1. Image/Video abstraction.
2. Multi-focus. From left to right: focus 1, focus 2, focus 3 and multi-focus.
3. Highlight removal. From left to right: input, specular, and diffuse.
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* The support of HP Labs under an Innovation Research Award is gratefully acknowledged.
Numerical Evaluation: Colors indicate different methods. The pink and blue curves are the performance of our method and Porikli’s method (CVPR08).