FeiYuePsych2012Project

Background

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Methods

The first step after transforming from RGB to YCoCg space is to do a non-linear remap of the chroma components. The Co and Cg values range from -1 to 1. Using the function described in Equation 1, we expand the lower region of the chroma value to increase precision. This is to take the advantage of the human vision system that the eye is more sensitive to chroma differences when the colors are present in small quantities as opposed to being almost saturated. The effects of Equation 1 is illustrated by Figure[].

Co_out = sqrt(abs(Co_in))*sin(Co_in)

The second step is to apply sharpening to the image. A low pass filter with the kernel of Equation 2 is applied to the original image. Then, the sharpening mask is produced by subtracting the low-passed image from the original image. Lastly, the sharpening mask is applied onto the image. The sharpening is only done to the luma channel, restricted to one quantization level. This effort is to reduce some of the quantization artifacts on the image, and to restore the original image, without making the resulting image overly sharpened.

1 2 1

2 4 2

1 2 1

The third step is to add noise to each of the Y, Co and Cg channels. This would affect the least significant bits during encoding, therefore reducing the banding effects. Less noise is added to the Cg' channel than the Co', and even less to the Y channel. This is because the human eye is more sensitive to the luma and the green chrominance channels.

Results

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Conclusions

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References - Resources and related work

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Appendix I - Code and Data

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