The methods of image defogging can be roughly divided into three categories:Image enhancement based defogging algorithms,physical model-based defogging algorithms,and deep learning based dehazing algorithms.By introducing attention mechanisms into traditional dark channel prior defogging algorithms,certain shortcomings of this algorithm can be overcome.Experimental simulation was conducted on the MATLAB platform,and the simulation results were compared and analyzed using subjective methods(subjective perception)and objective methods(peak signal-to-noise ratio)to demonstrate that the improved dark channel prior defogging algorithm with attention mechanism has the effect of optimizing traditional dark channel prior algorithms.
关键词
暗通道/注意力机制/图像去雾/峰值信噪比
Key words
dark channel/attention mechanism/image defogging/peak signal-to-noise ratio
维普
万方数据