The AF performance has seen dramatic improvement over the last few years.
It’s amazing just to think what the AF team at the R&D department has accomplished in such a short period of time.
Every now and then, they tell us “There will be an improvement in the AF performance.” “But how? there isn’t any new device,” we tell them. “We’ve come up with a new algorithm,” they answer back. They just keep pushing the limit of possibilities further and further.
The X-H1 has maximum of 325 AF points (13×25). If speed is your priority, it is best to use the phase-detection area of 169 points (13 x 13) at the center. Thanks to the focus lever, the AF point can be easily changed. The AF points are also aligned closely next to one another, so you can precisely position the focus point.
The focus point is detected by using the phase detection pixels found within the AF frame. At the default AF frame size, there are 20,000 phase detection pixels within the frame. The key is how to extract the useful information to improve focusing. This is where the new algorithm is implemented.
The focus point is divided into 5 blocks: top left, top right, bottom left, bottom right, and center. Some parts of the central block are overlapped with other 4 areas.
The focus point is usually at the center, but not always. This division of focus points prevents the undesired font or rear focus and increases the AF accuracy.
The 5 blocks are then split into 4 lines. Each area are now split into even smaller pieces to further improve the AF accuracy. With this split, the algorithm, it can detect focus point on the subjects with flat texture.
Now, let’s count the number of phase detection pixels in the area. The area is divided into 5 block and then split into 4 lines. The total number of phase detection pixels is 20,000. 20,000÷5÷4=1,000. There are total of 1,000 phase detection pixels within the AF frame. 1,000 pixels provides enough information, but how is it used?
The information of the 1,000 pixels are measured in horizontal comparison, vertical comparison, and square comparison.
There are two types of phase detection pixels, A and B. With the horizontal comparison, the focus point is detected by measuring the difference between A and B pixels horizontally. The difference can also be measured vertically with the on sensor phase detection of X-H1. This is called the vertical comparison. And then the camera is capable of measuring the difference between all of pixels A and B in the given area. This is called the square comparison.
The three types of comparison are processed simultaneously for X-H1. Previously, it was in the order of square, vertical and then horizontal. “We discovered that simultaneous processing provides information with higher accuracy,” the AF team commented.
Let’s do the math. 5 blocks x 4 lines x 3 types of processing =60. There are total of 60 signals to enahnce the autofocus performance. Previously, autofocus with the phase detection was only possible up to +0.5EV, but it can now work at -1EV. The phase detection AF is supported up to the aperture of F11. Previously, it was only up to F8. This means that the autofocus is more robust to the high frequency subject.
We’ve mentioned previously that the AF speed will not be any faster. The key now is to expand the area that the phase detection AF can cover. This is true also for X-H1.
Many X-Photographers who have tested the X-H1 commented that “the AF is faster”. But the fastest AF speed has not changed. What’s been changed is the area that Phase detection AF can cover. The new algorithm helped the photographers to accurately capture the scene that they wanted to capture. Å