The Algorithms of Image Wavelet Optimize Splicing and Fusion based on Improved Region Energy

When the wavelet image mosaics, first of all have to wavelet decomposition, the mosaic image is decomposed into multiple scales. In this paper, based on the improved area energy fusion method matching the appearance of negative, through the introduction of absolute value, eliminate the negative phenomenon. The paper presents the algorithms of image wavelet optimize splicing and fusion based on improved region energy. The algorithm to achieve the mosaic effect chart maintained from the source image information is the largest while eliminating the seams, and verify the validity and rationality. The simulation results verify the correctness and the validity of the algorithm, but also to enhance the clarity of the image fusion provides an effective way. [PUBLICATION ABSTRACT]