untitledLei Zhang¡¯s homepage

 

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.