关键词: 人工鱼群,图像修复,子空间,亮度补偿

Abstract: Because unknown pixels lack prior information,module matching and edge structure information is unknown,and the holographic reconstruction is difficult.The traditional method uses multidimensional search method of subspace feature information,which failes to achieve the fine image texture template matching of structure information,and the effect is not good.Introducing the artificial fish swarm algorithm,this paper proposed a new image holographic image restoration algorithm based on artificial fish swarm micro decomposition and brightness compensation.Sub space feature information multidimensional search method is used for unknown pixel confidence updates.In order to maintain the continuity of damaged region in image,the artificial fish swarm algorithm decomposition model is constructed,combined with the edge feature of image brightness compensation strategy,and the image restoration algorithm is obtained.The simulation result shows that it has a good visual effect in image restoration of a priori unknown pixel,resulting in less recovery time and computation costs,and the stability and convergence performance are improved.SNR error is smaller within 6%,so it has superior performance in application.

Key words: Artificial fish swarm,Image restoration,Subspace,Brightness compensation