The previous method we used had obvious disadvantages caused by the usage of just one row from a different point in time to replace a blank row at the present time. This method can be improved a little, if we use field averaging. This time, instead of using just the next (or previous) frame as a source for missing information, we will use both adjacent frames, which will replace the row in our current frame with the average value of the same rows in the previous and next frames. This will have a better result in terms of temporal continuity but it demands larger storage space and also cannot deinterlace the first and the last frame (instead of just the last as in the previous example). Let's see how this process is implemented.