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In this paper, we propose a new 3-D image transmission method using in-network computation (INC) for integral imaging. In integral imaging, information of 3-D objects can be recorded as multiple 2-D elemental images with different perspectives so that the amount of transmitted data is extremely large. Thus, the transmission efficiency for 3-D images via wireless networks is very low. To improve this transmission efficiency, we determine the correlation among elemental images and reduce the amount of data transmitted by INC, which allows the intermediate nodes in the network to compress the correlated images before transmission. Experimental results demonstrate that the proposed method does not degrade the visual quality of 3-D images greatly, but it reduces the amount of transmitted data significantly.