Medical Image Fusion Algorithm Based on Nonlinear Approximation of Contourlet Transform and Regional Features

Medical Image Fusion Algorithm Based on Nonlinear Approximation of Contourlet Transform and Regional Features

Blog Article

According to the pros and cons of contourlet transform and multimodality medical imaging, here we propose a Crank And Shroud novel image fusion algorithm that combines nonlinear approximation of contourlet transform with image regional features.The most important coefficient bands of the contourlet sparse matrix are retained by nonlinear approximation.Low-frequency and high-frequency regional features are also elaborated Knock Boxes to fuse medical images.The results strongly suggested that the proposed algorithm could improve the visual effects of medical image fusion and image quality, image denoising, and enhancement.