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Experimental results of paper

 ��PCA-based Spatially Adaptive Denoising of CFA Images for Single-Sensor Digital Cameras��

by Lei Zhang, Rastislav Lukac, Xiaolin Wu and David Zhang

IEEE Trans. on Image Processing, vol. 18, no. 4, pp. 797-812, April 2009.

 

Paper:           download here.

Matlab code: download here.

 

We label

 

the demosaicking method [1] as ��solc��;

the demosaicking method [2] as ��ahd��;

the demosaicking method [3] as ��sad��;

the demosaicking method [4] as ��dlmmse��;

 

the denoising method [5] as ��pbshrink��;

the denoising method [6] as ��mixscale��;

 

the joint demosaicking-denoising method in [7] as ��jdmdn_Hirakawa��;

the joint demosaicking-denoising method in [8] as ��jdmdn_Zhang��;

 

and the proposed PCA-based direct CFA image denoising scheme as ��pcadn��.

 

With these labels,

the color reproduction result by using the demosaicking method ��solc�� and denoising method ��pbshrink�� of image fence is saved as ��fence_solc_pbshrink.tif��, and so on;

the color reproduction result by using the joint demosaicking-denoising method ��jdmdn_Zhang�� of image fence is saved as ��fence_jdmdn_Zhang.tif��, and so on;

the color reproduction result by using the proposed CFA denoising method ��pcadn�� and demosaicking method ��solc�� of image fence is saved as ��fence_pcadn_solc.tif��, and so on.

 

 

Experiment 1 -- fence

 

:           download images       

: download images

 

Experiment 2-- house

 

:           download images

: download images

 

Experiment 3 -- resolution

 

download images

 

More Experimental Results:

 

Parrots

Motor

Windows

Flower

 

PSNR Results: download here

 

 

Reference

 

[1]      J. E. Adams, ��Design of practical color filter array interpolation algorithms for digital cameras,�� Proceedings of SPIE, vol. 3028, pp. 117-125, 1997.

[2]      K. Hirakawa and T. W. Parks, ��Adaptive homogeneity-directed demosaicing algorithm��, IEEE Trans. on Image Processing, vol. 14, no. 3, pp. 360-369, Mar. 2005.

[3]      Xin Li, ��Demosaicing by successive approximation,�� IEEE Trans. on Image Processing, vol. 14, no. 3, pp. 370-379, Mar. 2005.

[4]      Lei Zhang and X. Wu, ��Color demosaicking via directional linear minimum mean square-error estimation,�� IEEE Trans. on Image Processing, vol. 14, no. 12, pp. 2167-2178, Dec. 2005.

[5]      A. Pizurica and W. Philips, ��Estimating probability of presence of a signal of interest in multiresolution single- and multiband image denoising,�� IEEE Trans. on Image Processing, vol. 15, no. 3, pp. 654-665, Mar. 2006.

[6]      J. Portilla, V. Strela, M. J.  Wainwright and E. P. Simoncelli, ��Image denoising using scale mixtures of Gaussians in the wavelet domain,�� IEEE Trans. on Image Processing, vol. 12, no. 11, pp. 1338 �C 1351, Nov. 2003.

[7]      K. Hirakawa and T. W. Parks, ��Joint demosaicking and denoising,�� IEEE Trans. on Image Processing, vol. 15, no. 8,  pp. 2146 �C 2157, Aug. 2006.

[8]      L. Zhang, X. Wu and D. Zhang, ��Color reproduction from noisy CFA data of single sensor digital cameras,Summary: Not available.....�� IEEE Trans. on Image Processing, vol. 16, no. 9, pp. 2184-2197, Sept. 2007.