I wouldn't count on that being the case since each pixel overlaps 4 others there cannot be any real solution to creates 4 unique phantom pixels (the overlaps) that are correct. I would also suspect that any scheme using weighted averaging of the values associated with the primary pixel plus the 4 surrounding pixels from the original frame, in order to create the value for an eShift pixel, would actually reduce the resolution of the displayed image. I could see however, JVC using an algoritm where they use the value of the one primary pixel plus the value of just one of the missing pixels (black pixels in my illustration in the above post) with perhaps more weight given to the primary pixel in determining the value to be assigned to the eShift pixel. As you probably recall, the eShift technology came out of work by JVC and NHK where they wanted to create a lower cost solution for an 8K projector. For that case they can accept a 8K input and display an 8K-lite image. It would be interesting to see what they are doing with that commercial projector since the solution for the new consumer 4K input eShift projectors may be using the same approach.