融合多重视觉特征的降质图像视觉效果增强  

A Visual Enhancement Method for Degraded Images by Integrating Multiple Visual Features

作　　者：查怀志 韦伟 Zha Huaizhi;Wei Wei(School of Teacher Education,Anqing Normal University,Anqing,Anhui 246133,China)

机构地区：[1]安庆师范大学教师教育学院,安徽安庆246133

出　　处：《黑龙江工业学院学报（综合版）》2024年第6期79-84,共6页Journal of Heilongjiang University of Technology(Comprehensive Edition)

基　　金：安徽省质量工程项目“省级教学示范课项目——三维动画制作”(项目编号:2020SJJXSFK1494)。

摘　　要：为了提高图像质量,提出融合多重视觉特征的降质图像视觉效果增强方法。模拟图像质量下降过程,得出待增强的降质图像。从纹理、颜色和边缘三个方面提取降质图像的特征,并利用多重视觉特征融合技术,得出降质图像综合特征。通过图像去噪、视觉特征精细化增强、对比度增强、色彩校正等步骤,得出视觉效果增强处理结果。通过性能测试实验可知,所提方法得出增强图像信噪比提高约2371dB,同时图像对比度和分辨率均得到明显提升。In order to improve image quality,a degraded image visual enhancement method that integrates multiple visual features is proposed.It simulates the process of image quality degradation and obtains the degraded image to be enhanced.And it extracts features of degraded images from three aspects:texture,color and edge,and uses multiple visual features fusion techniques to obtain comprehensive features of degraded images.Through image denoising,visual feature refinement enhancement,contrast enhancement,color correction and other steps,the results of visual effect enhancement processing are obtained.Through performance testing experiments,it can be concluded that the proposed method improves the signal-to-noise ratio of the enhanced image by approximately 2371dB,while significantly enhances both image contrast and resolution.

关 键 词：多重视觉特征 降质图像 图像增强 视觉效果 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]