Wavelet-based Color Filter Array demosaicking (WP-P4)

Author(s) : Jef Driesen (University of Antwerp, Belgium) Paul Scheunders (University of Antwerp, Belgium)

Abstract : In this paper, a wavelet-based technique for the demosaicking of Color Filter Arrays (CFA) is proposed. Conventional demosaicking techniques perform interpolation of the missing pixels in the $YC_rC_b$ color space, where emphasis is put on an optimal interpolation of the luminance. We make advantage of this by merging the obtained luminance image with interpolated R,G and B images. The merging is performed in a multiresolution way, using the wavelet transform. This postprocessing technique is demonstrated to outperform traditional demosaicking interpolation techniques, visually as well as quantitatively, using two measures, the PSNR and $\Delta Eî*_{ab}$, which is a measure for the average color distance between original and demosaicked images in the CIELAB color space.

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