DxOMark will finally test and evaluate self-taught cameras during their smartphone reviews. users actually use their smartphones. These results will be posted alongside the DxOMark main site along with the results for the rear-facing cameras.
This is important for many reasons, but mainly because this type of testing is extremely rare and almost does not exist among objective review sites. Most camcorders are lagging behind the main cameras of smartphones and are often missed during testing. With the addition of a test protocol for the cameras, DxOMark covers all image sensors that smartphone owners use – and prevents unpleasant surprises for readers when shooting with the front camera of their phone.
Following a new convention other than the assessment of their mobile photography, the self-photographic results are based on a large data collection, including objectively collected data through test charts and scenes. In addition, over 45 test scenes are used to analyze cameras using self-portrait using a selection of criteria to assess the productivity of the cameras in the range of possible environments both inside and outside. Although there is no complete list of tests and results, the test takes about two weeks from start to finish. This includes over 1,500 still images and more than two hours of video capture to reach two meta-results (pictures, videos) that are then combined for a total score.
Among the new tests developed for the protocol are the Boke diagram, the dead sheet for noise and detail analysis, realistic mannequins for repeatability and HDR portrait tuning. These tests will offer a little more context in the general functions of the cameras. However, it is unclear whether features like Night Sight are included in the scoring – we know that the new camera features will not always do the cutting test.
Image quality assessment became more difficult after the AI came into the cameras, and the new test protocol attempted to take this into account Explore the latest features in the DxO environment. For example, beautifying modes that are popular in some phones dramatically alter image quality, but not in the same way from region to region. DxOMark tests this using representative models and dummies to provide the best results. In addition, beautifying devices are rated for how well they handle diversity by providing a wide cross section of patterns.
Although both the camera of the main camera and the auto-portrait camera follow similar conventions, both tests are sufficiently different. that they can not be directly compared to each other. However, we warn everyone to get any results with some grain. I say this because it is extremely difficult to create a system that meets the needs of users, which is also easy to read. As a person who has designed Android Authority objectively testing and scoring for smartphone cameras, I can tell you that there is no one universal case for using images of any kind, so rating everything on the same metrics is incredibly hairy. 19659011] Next: The results of DxOMark should not be your final camera rating system