Multi-focus image fusion for visual sensor networks in Wavelet domain

The aim of multi-focus image fusion is to combine multiple images with different focuses for enhancing the perception of a scene. The result of image fusion is a new image which is more suitable for human and machine perception or further image-processing tasks such as segmentation, feature extraction and object recognition. Existing methods are suffering from some undesirable side effects like blurring or blocking artifacts which reduce the quality of the output image. Furthermore, some of these methods are rather complex. This paper, an efficient approach for fusion of multi-focus images based on variance calculated in Wavelet domain is presented. The experimental results and comparisons show that the efficiency improvement proposed fusion model both in output quality and complexity reduction in comparison with several recent proposed techniques.