A Framework for wavelet-Based Analysis and Processing of Color Filter Array Images with Applications to Denoising and Demosaicing

@article{Hirakawa2007AFF,
  title={A Framework for wavelet-Based Analysis and Processing of Color Filter Array Images with Applications to Denoising and Demosaicing},
  author={Keigo Hirakawa and Xiao-Li Meng and Patrick J. Wolfe},
  journal={2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07},
  year={2007},
  volume={1},
  pages={I-597-I-600}
}
This paper presents a new approach to demosaicing of spatially sampled image data observed through a color filter array, in which properties of Smith-Barnwell filterbanks are employed to exploit the correlation of color components in order to reconstruct a subsampled image. The method is shown to be amenable to wavelet-domain denoising prior to demosaicing, and a general framework for applying existing image denoising algorithms to color filter array data is also described. Results indicate… CONTINUE READING

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