Abstract:

The key problem in multifocus image fusion is how to keep the detail and edge in the original image.Therefore,a new image fusion algorithm is developed based on the related coefficients of wavelet transform.The schemes of choosing high frequency and low frequency coefficients are two approaches designed. While choosing high frequency coefficients,we select these that have the maximal absolute values and combination of averages with selection.When choosing low frequency coefficients,we select two principles based combination of average with selection and coefficients related.The algorithm is used to fuse two multifocused images. In addition, the performance of the fusion methods is appraised and analysed with objective evaluation index. The experiments show that this algorithm can preserve all the useful information from the primitive images and all the targets in the fused image are very clear. Each fusion evaluation index achieves improvement. The algorithm is of certain effective and parctial.

Key words: image fusion;wavelet transform;average and selection;coefficients related;integration of quality assessment