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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. 0 128 255 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. 0 128 255 * 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).

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Contribution 1 : O(1) bilateral filtering method. Numerical Evaluation : Colors indicate different methods. The pink and blue curves are the performance of our method and Porikli’s method (CVPR08). - PowerPoint PPT Presentation

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Page 1: Applications :

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.

0 128 255

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.

0 128 255

* 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).