Introduction - If you have any usage issues, please Google them yourself
Common image enhancements based on human visual property compress the dynamic range of
images while enhancing the contrast,so that the whole contrast is not high and the effects on edges are
not satisfactory.By analyzing the global and local adaptation of the human visual system and the
transfer property of retinal ganglion cells,an algorithm for biomimetic image enhancement is proposed
in this paper.Firstly a global logarithm transformation is carried out on the whole image to adapt the
sense property of the human visual system secondly the tri-Gaussian model is adopted to adjust the
local contrast based on the local linear relationship between subjective brightness(intensity as
perceived by the human visual system)and the logarithm of the light intensity incident on the eye
finally,a linear transformation is used to convert the enhanced image back to a color image.The
experimental results show that our proposed algorithm has better performance compared to other
methods.In