JU Ming-ye, ZHANG Deng-yin. Image Enhancement Based on Prior Knowledge and Atmospheric Scattering Model[J]. Acta Electronica Sinica, 2017, 45(5): 1218-1225.
Almost the existing image enhancement algorithms are not capable to deal with multi-type degenerated images.In this paper
a fast image enhancement algorithm is proposed based on prior knowledge and atmospheric scattering model.Firstly
an innovative image prior
which were called bright channel prior
were proposed through experimental statistics.It shows that the whites spots are more likely to exist in the neighborhood of each pixels in high-quality clear image.Then
the scattering model were improved and it derived the calculation formula of reflectance image by bright channel prior
dark channel prior and improved scattering model.Finally
we put forward a fault tolerance mechanism
which is based on reliability prediction
to handle the situation that the dark channel prior does not work.The experiment results shows that this algorithm can not only highlight the texture details well but also restore the tone.It is able to deal with multi-type degenerated images.