In order to retain the thermal radiation information and detail information,a novel infra-red and visible image fusion method based on Tetrolet transform was proposed.Firstly,the original in-frared and visible images were decomposed using Tetrolet transform.The low-frequency coefficients and the high-frequency coefficients were obtained.The rule of adaptive energy weighting was used for low-frequency coefficients.And the maximum value was used for the high-frequency coefficient.Final-ly,the fusion image was obtained by inversely transformed.The experimental results show that the pro-posed method can retain the thermal radiation information from infrared images and the details from visible images.The resulting image had better visual effects,while the evaluation index was better than the corresponding comparison methods.
关键词
红外图像与可见光图像/Tetrolet变换/自适应加权
Key words
infrared and visible images/Tetrolet transform/adaptive weighting
维普
万方数据