资 源 简 介
Image contrast enhancement and brightness preservation are fundamental requirements
for many vision based applications. However, these are two conflicting objectives when
the image is processed by histogram equalization approaches. Current available methods
may not provide results simultaneously satisfying both requirements. In this work, a pipelined
approach including color channel stretching, histogram averaging and re-mapping is
developed. By using stretching, color information from a scene is restored. Averaging
against a uniform distribution enables the output image to recover the information lost.
Furthermore, histogram re-mapping reduces artifacts that often arise from the equalization
procedure. The technique also employs a search process to find optimal algorithmic parameters,
such that the mean brightness difference between the input and output images is
minimized. The effectiveness of the proposed method w
