Bayer-pattern CFA image demosaicking method based on non-local mean
A non-local average and demosaic technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of poor interpolation effect of small edges and texture areas, and achieve suppression of false color effects, improvement of chromaticity deviation, The effect of interpolation result improvement
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[0032] Attached below figure 1 , the step that the present invention realizes is described in further detail:
[0033] Step 1, input a CFA image I to be demosaiced s , where the CFA image to be demosaiced is a Bayer-mode CFA image, and each pixel in the image has only one color value among the three primary colors of red, green, and blue. This color value does not need to be interpolated, and the other two color values are missing. Interpolation is performed using a demosaic method.
[0034] Step 2, estimate the brightness, the calculation formula is as follows:
[0035] L = A ( H T σ - 1 H + λ 1 M 1 T M ...
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