Experimental Comparison among five algorithms of brightness and contrast homogenization
遥感影像亮度和反差分布不均匀性校正算法的效果比较

After the brief introduction of existing dodging methods, the piecewise mean-variance adjustment is presented for both brightness and contrast homogenization. Then, the focus of the paper is put on the experimental comparison among the results obtained by the following five algorithms: MASK dodging, interpolation dodging, homomorphic filtering dodging, retinex dodging, and piecewise mean-variance adjustment. The experiments indicate that the piecewise mean-variance adjustment can deal with non-uniform brightness and contrast in an image. MASK dodging, interpolation dodging and retinex dodging can eliminate the phenomenon of non-uniform brightness. However, homomorphic filtering dodging can only weaken the phenomenon of non-uniform brightness. The dodging performance ranks piecewise mean-variance adjustment, MASK dodging, interpolation dodging, retinex dodging, and homomorphic filtering dodging from the best to the worst, respectively.