| The paper has carried out an intensive study of the video enhancement application in the environment with bad weather conditions.The paper has done a research on the weather factors that affect the quality of images,based on which it classified the images acquired under such bad weather conditions into two categories.For the first category videos that acquired in the dawn and dark,the paper has brought forward an adaptive video enhancement algorithm based on closed-operation.The algorithm can enhance features and suppress noise. Meanwhile,the algorithm can adaptively adjust image brightness and contrast.The paper has also discussed the migration and optimization of this algorithm onto digital signal processing DM642.This method can be implemented to enhance videos in real time after being optimized using the techniques the paper has come up with.For the second category videos that acquired in the fog day and etc,the paper has presented an enhancement method based on human visual system.The enhanced video frames have become clear,the contrast has been improved a lot... |
