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Yue Chen authored
Only 1 sample needs to be collected. Max of 8 neighbors are used. In LS estimation, the projection samples (sx, sy)->(dx, dy) are intentionally smoothed by assuming 3 shifted versions (sx, sy+n)->(dx, dy+n), (sx+n, sy)->(dx+n, dy), (sx+n, sy+n)->(dx+n, dy+n) also contribute to the estimation. For example, instead of using A[0] = sx^2, we use the sum of squares of source x of four points, A[0] += 4sx^2+4*n*sx+n^2. But computational cost wise, it does not add much overhead. Coding gain is mostly same as the old version. If no smoothing is added, will lose 0.3% on lowres. Change-Id: I04be32cffa525f7dc8ee583c0bf211d7bdc6e609
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