Abstract—The aim of image fusion is to combine information from the set of images to get a single image which contains a more accurate description than any individual source image. While the scene contains objects in different focus due to the limited depth-of-focus of optical lenses in camera then by using image fusion technique we can get an image which has better focus across all area. In this paper, a multifocus image fusion method using combination Laplacian pyramid and wavelet decomposition is proposed. The fusion process contains the following steps: first, the multifocus images are decomposed using Laplacian pyramid into several levels of pyramid. Then at each level of pyramid, wavelet decomposition is applied. The images at every level of wavelet are fused using maximum absolute value rule. The inverse wavelet transform is then applied to the combined coefficients to produce the fused image in laplacian pyramid. The final step is to reconstruct the combined image at every level of pyramid to get the fused image which shows an image retaining the focus from the several input images. Experimental results that are quantitatively evaluated by calculation of root mean square error, peak signal to noise ratio, entropy, and average gradient measures for fused image show the proposed method can give good result.

 

Index Terms—image fusion, laplacian pyramid, wavelet decomposition

Cite: I. S. Wahyuni and R. Sabre, "Wavelet Decomposition in Laplacian Pyramid for Image Fusion," International Journal of Signal Processing Systems, Vol. 4, No. 1, pp. 37-44, February 2016. doi: 10.12720/ijsps.4.1.37-44