Image Harmonization Method Based on Ivolution Feature Extraction and Foreground Detail Enhancement
When editing composite images,it can be challenging to achieve a realistic visual effect because of the sig-nificant differences in appearance between the foreground and background areas.Image harmonization aims to address this by transferring the appearance information of the background domain to the foreground domain,minimizing the perception difference of the human eye.However,existing methods often have limitations in their ability to extract information from the background and can result in poor harmonization effects.This paper proposes an inner roll feature extraction and fore-ground detail enhancement module for image harmonization.Experimental results on the iHarmony4 dataset demonstrate this method can generate images with sufficient details and stronger realism.
万方数据
维普
