Objective In remote sensing applications such as visual interpretation,it is necessary to improve the visual quality of remote sensing image.An approach based on dark channel prior and bilateral filtering is proposed for the enhancement of remote sensing image.Method To address the high computational complexity of softmatting in the dark channel prior model,bilateral filtering is used to estimate the atmospheric veil,then obtain the refined transformation map of He's model.Crossing-color is observed when dark channel prior is applied to the enhancement of remote sensing images.Thus,an improved algorithm for calculating the transmission map is presented by improving the pixel values of depth image and making all pixel values not larger than one.Finally,the enhanced remote sensing image is obtained with depth images and dark channel prior model.Result Experimental results demonstrate that the proposed algorithm can increase the image contrast effectively.Comparing to the image enhancement models based on SSR and bilateral filtering,Four-Scale Retinex,histogram equalization and MSRCR,the results validates the effectiveness of the proposed algorithm.Conclusion The proposed model can make enhanced remote sensing images more acceptable in line with the visual characteristics and more convenient for visual interpretation,and it is feasible for the remote sensing image visualization enhancement.
dark channel priorbilateral filteringimage enhancementremote sensing image
NETL
NSTL
维普
万方数据
