A Nonlinear Stretching and Gray-Scale Conversion Algorithm for Remote Sensing Image Visualization
The remote sensing images are generally 16-bit,which requires image enhancement and the conversion to 8-bit for good visual effect. Traditional image stretching and en-hancing methods tend to cause overexposure or low contrast and brightness in certain parts of the image. To this end,this paper proposes a nonlinear stretching and enhancing algorithm for remote sensing image visualization. Firstly,cumulative histograms for each band of the image are counted through a multi-scale way. Then the nonlinear stretching parameters are computed based on average values of the histograms. Finally,the presented algorithm performs stretching on the image and converts it . This method can improve the contrast and bright-ness of the remote sensing image from the holistic perspective and obtain good visual overall effect,which is beneficial for later interpretation. Experiments on Jilin-1 satellites images are performed and the results show that the proposed algo-rithm surpasses other methods in terms of visual effect and quantitative evaluation.
万方数据
维普
