51. Measuring image artifacts - image resizing - 2011

51. Measuring image artifacts - image resizing - 2011 -...

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EI 2006 - San Jose, CA Slide No. 1 Nearest-neighbor and Bilinear Resampling Factor Estimation to Detect Blockiness or Blurriness of an Image* Ariawan Suwendi Prof. Jan P. Allebach Purdue University - West Lafayette, IN *Research supported by the Hewlett-Packard Company
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EI 2006 - San Jose, CA Slide No. 2 Outline Introduction 1-D Nearest-neighbor and bilinear interpolation The basis for interpolation detection (RF>1) Step-by-step illustration of the resampling factor estimation algorithm Robustness evaluation Conclusions
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EI 2006 - San Jose, CA Slide No. 3 Introduction Nearest-neighbor and bilinear interpolation are widely used Popescu and Farid (IEEE T-SP, 2005): Detect resampled images by analyzing statistical correlations Not able to detect the resampling amount Ineffective to some common post-processings Original Low-Res Image NN interpolation Bilinear interpolation
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EI 2006 - San Jose, CA Slide No. 4 Introduction (cont.) How to detect and estimate resampling factor (RF) for nearest-neighbor and bilinear interpolation Since both interpolations are separable, most of the things will be explained in 1-D space
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EI 2006 - San Jose, CA Slide No. 5 1-D Nearest-neighbor and bilinear interpolation Rational resampling factor ( ) Interpolation Definition Interpolation filter Nearest-neighbor interpolation Bilinear interpolation
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