基于二进小波与融合方法的医学图像增强研究

摘要

The increase of medical image clarity can improve the diagnostic accuracy of the doctor.Thus, a medical image enhancement algorithm based on dyadic wavelet and fusion method is proposed.Firstly, after decomposing an image, an enhancement function is used to deal with the high-frequency coefficients, and then another enhancement function is used to deal with the high-frequency coefficients.Then, the corresponding high frequency image is fused.Finally, the low frequency information obtained by the decomposition and the enhanced high frequency information after fusion are used to inverse transform.The experimental results show that the proposed method can enhance the clarity of medical images and enhance the effect of medical images.%医学图像清晰度的增加,能提高医生的诊断准确率.因此,提出一种基于二进小波与融合方法的医学图像增强算法.首先,将一幅图像经过分解后,先使用一种增强函数对高频系数进行相应处理;再使用另一种增强函数也对高频系数进行相应处理.此后,将对应的高频图像进行融合.最终,利用分解得到的低频信息和增强融合后的高频信息进行反变换.实验及结论表明:采用该增强算法能有效地提升医学图像的清晰度,达到增强医学图像的效果.