Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , 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/sub r/C/sub b/ color space, where emphasis is put on an optimal interpolation of the luminance.  make advantage of this by merging the obtained luminance image with interpolated R1G 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 ll as quantitatively, using two measures, the PSNR and /spl Delta/E/sub ab/, which is a measure for the average color distance beten original and demosaicked images in the CIELAB color space.
['Jef Driesen', 'Paul Scheunders']
I am writing a research paper on a idea Wavelet-based color filter array demosaicking
[{"from": "human", "value": "I am writing a research paper on a idea Wavelet-based color filter array demosaicking"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , 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/sub r/C/sub b/ color space, where emphasis is put on an optimal interpolation of the luminance.  make advantage of this by merging the obtained luminance image with interpolated R1G 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 ll as quantitatively, using two measures, the PSNR and /spl Delta/E/sub ab/, which is a measure for the average color distance beten original and demosaicked images in the CIELAB color space."}]