In order to achieve more accurate and efficient image restoration and improve image quality and com-pleteness,we put forward a digital image intelligent restoration method design based on visual color.Firstly,the threshold segmentation method based on the adaptive theory of sub channels(ATSC)was adopted to accurately and quickly segment the area to be repaired in the image,providing a target repair area for subsequent work.Secondly,a repair model based on improved sample blocks was used to achieve intelligent filling and repair of the area to be repaired.Finally,a cluster-based color transfer method was adopted to improve the quality of the repaired digital image,making the repaired image rich and full in color,and improving the overall visual effect of image color.The experimental results show that the proposed method has high restoration accuracy and can ef-fectively enhance the overall quality and visual effect of the repaired image.
维普
万方数据