A Fast Image Fusion With Discrete Cosine Transform

A fast and effective image fusion method based on discrete cosine transform (DCT) is proposed. The fusion quality and computation time of current DCT-based image fusion methods largely depend on the selected block size, and the selection of the block size is very difficult in practice. A novel image fusion method based on DCT coefficient matrix features is proposed, which can effectively overcome the above difficulties. A DCT-based image fusion framework is proposed, which decomposes each source image into a base layer and a detail layer for image fusion. And optimize the calculation method of the base layer to better preserve the structure of the image. The effectiveness of the proposed method is verified by six image databases with more than 90 pairs of source images in total. The experimental results show that the proposed method can obtain the most effective results in terms of visual quality and objective evaluation of medical image fusion, and the fusion time is more efficient.