Automatic Enhancement of Visible Light Remote Sensing Image Dehazing in Power Inspection Based on Multi-scale Retinex Algorithm
Visible light remote sensing images of power inspection are often affected by atmospheric particles,and the instability of the atmospheric environment has a significant impact on the dehazing process of the images,resulting in a low peak signal-to-noise ratio level of the processed images.To alleviate this problem,a multi-scale Retinex algo-rithm based automatic dehazing enhancement method for visible light remote sensing images of power inspection is proposed.Establish an atmospheric scattering model based on the imaging principle of visible light remote sensing images.After filtering,the pixels in the fog area are separated using a two-dimensional Fourier transform method,and the dehazing process is achieved through nonlinear mapping processing.On this basis,the multi-scale Retinex algo-rithm is introduced to achieve automatic image enhancement processing.After testing,it is known that this method has shown a high peak signal-to-noise ratio level and high image processing quality in practical applications,meeting the application analysis requirements of visible light remote sensing images for power inspection.
万方数据
维普
