1. A method, comprising: for each mixing policy of a plurality of mixing policies, predicting an image quality of an intermediate image produced by mixing a left intermediate image and a right intermediate image according to the mixing policy, wherein the left intermediate image is generated from left data of input stereo data, the left data comprising left image data and left disparity data corresponding to a left view, and the right image is generated from right data of the input stereo data, the right data comprising right image data and right disparity data corresponding to a right view, and the intermediate image corresponding to an intermediate view at a particular position between the left view and the right view, wherein the predicting is based on an image characteristic of the stereo data, wherein each mixing policy defines relative contributions of the left intermediate image and the right intermediate image in the mixing, wherein the image characteristic is one or more of an amount of image detail of the stereo data and one or more disparity transitions in the stereo data, wherein the predicted image quality includes at least one of artifacts of the intermediate image, blur of the intermediate image, detail sharpness of the intermediate image, and ghosting of the intermediate image; selecting a selected mixing policy among the plurality of mixing policies based on the predicted image quality of the corresponding intermediate image produced by employing the selected mixing policy; generating the left intermediate image when generation of the left intermediate image is required by the selected mixing policy; generating the right intermediate image when generation of the right intermediate image is required by the selected mixing policy; and generating the intermediate image by mixing the left intermediate image and the right intermediate image, using relative contributions of the left intermediate image and the right intermediate image according to the selected mixing policy.