Research on Attention-Based Image Defogging Algorithm
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.
dark channelattention mechanismimage defoggingpeak signal-to-noise ratio
万方数据
维普
