A Multi-exposure Image Fusion Method Based on Wavelet Packet Transform

摘要

This paper presents a method for multi-exposure images fusion based on wavelet packet transform, combining the local energy distributions of multi-exposure images with the edge detection. After decomposing two images involved in fusion into sub images in low-frequency and high-frequency with wavelet packet transform, we use different methods for low-frequency and high-frequency to obtain fusion coefficients. In low frequency processing, the method that threshold value is set for local energy is used while the edge detection method is used in high frequency, where the edge detection operator help compute the information quantity of different high frequency images. Then the coefficients for fusion are selected according to different strategies adopted for low- and high-frequency. Finally, the fusion image is reconstructed through inverse wavelet packet transform. The result shows that the fusion method is effective and the fusion image can preserve the details of the each input image successfully.