Image Reconstruction Algorithm Based on Fusion Wavelet Function and Dark Channel
Focusing on the image defogging module in image recognition,the reconstruction algorithm of foggy image is studied under the condition of dark channel.Aiming at the problems of serious color distortion and low definition of defogged image,the improved wavelet function and dark channel algorithm are used to defog the source image for many times,and the pixel color level of the image is constantly adjusted to reach an optimal range,and the color distortion of the image is compensated to some extent,so as to achieve the purpose of image defogging.The simulation results show that the improved wavelet function based on multi-fusion has the best effect in the reconstruction of defogged images in dark channels,and the reconstructed images have better definition,which is superior to other algorithms in many aspects.
万方数据
维普
