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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).

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  1. 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). Real-Time O(1) Bilateral & Median FilteringQingxiong Yang*, Kar-Han Tan†, Narendra Ahuja**University of Illinois at Urbana Champaign, †HP Labs Speed (1MB image, tested on Geforce 8800 GTX): Without spatial subsampling: 30 ~120 fps. Applications: 1. Image/Video abstraction. 2. Multi-focus. From left to right: focus 1, focus 2, focus 3 and multi-focus. 0 128 255 0 128 255 (a) Original. (b) Spatial filtering. (c) Normalization & (d) Final. interpolation. Contribution2: O(1) median filtering method. • It is the same as the proposed O(1) bilateral filtering method except: • The spatial and range functions are not Gaussian: • No normalization step. • The interpolation step is different. The intensity corresponding to the minimum absolute value of spatial responses is selected as correct. 3. Highlight removal. From left to right: input, specular, and diffuse. * The support of HP Labs under an Innovation Research Award is gratefully acknowledged.

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