基于邻域嵌入的X光图像超分辨率区域融合

The super-resolution region fusion of X-ray image based on neighborhood embedding

为了提升X光图像超分辨率区域融合的质量,提出基于邻域嵌入的X光图像超分辨率区域融合方法研究。采用邻域嵌入技术对X光图像进行超分辨率重建,以此为基础,连接X光图像超分辨率区域特征,提取X光图像超分辨率区域,利用小波分解将超分辨率区域划分为低频子带与高频子带,制定低频子带与高频子带融合规则,融合超分辨率区域,并通过邻域验证窗口,修正图像超分辨率区域融合结果,从而实现了X光图像超分辨率区域的融合。仿真实验结果显示:确定了最佳监督强度参数数值为0.8,融合后图像质量指数最高可达12.85,充分说明提出方法的超分辨率区域融合效果更好,适合大力推广使用。

In order to improve the quality of X-ray image super-resolution region fusion,a method of X-ray im-age super-resolution region fusion based on neighborhood embedding is proposed.The super-resolution region of X-ray image is reconstructed by neighborhood embedding technology.On this basis,the super-resolution region of X-ray image is extracted by connecting the features of super-resolution region of X-ray image.The super-resolution region is divided into low-frequency sub-band and high-frequency sub-band by wavelet decomposition.The fusion rules of low-frequency sub-band and high-frequency sub-band are formulated,and the super-resolution region is fused.Finally,the super-resolution region is fused through the neighborhood verification window In this paper,the results of super-resolution region fusion of X-ray image are presented.The simulation results show that the optimal supervision intensity parameter value is 0.8,and the highest image quality index after fusion can reach 12.85,which fully shows that the super-resolution region fusion effect of the proposed method is better,and it is suitable to be widely used.