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@Framed_By_Dan Afaik the Lumix GX9 has a 1:1 readout in 4K, covering exactely S16 image width, with a 2.8 crop of FF. So even a 10 or 12mm S16 lens should work perfectly in 4K. -
By Ilkka Nissila · Posted
This is quite misleading as mirrorless cameras can be set up to do a similar thing where the image is tone-mapped and written to a rec 709 video, usable immediately. The use of a log format and pretending that it is meant for direct viewing and comparing that to a highly processed video from a different camera is a bit disingenuous when cameras have menus with processing settings that allow the user to get a video without editing, with less AI for sure, but with good algorithms that do a roughlysimilar thing more predictably and with higher quality. I am not familiar with how Canon or Sony cameras do things but on Nikon I often use ADL which is their tone-mapping algorithm and it allows me to shoot high contrast, suboptimally lit scenes and get good results without editing. Log video is specifically a storage format and not meant for immediate viewing, which you of course know. Extremely edited night time footage where subjects have been dug out from the shadows will never look very good, and using appropriate lighting and/or making the video in conditions where the existing lighting is half decent is better than relying on extreme AI processing. This is probably one of the reasons why compact cameras are enjoying a resurgence: people are sick and tired of the sickly-looking overprocessed results from smartphones, and even a compact camera that has a small sensor but does not overprocess the image is preferred. -
By zerocool22 · Posted
Whatsup with arri clog on the s1ii though? It still seems way off from actual arri footage? -
This is where computational photography becomes impossible to ignore and where it starts to look more like computational cinematography. These Luna Ultra low-light comparisons are not simply about sensor size, ISO or aperture. They are about the entire imaging pipeline. The Luna is not just “seeing better” in the traditional optical sense; it is processing harder. It is lifting shadows, stabilising exposure, reducing noise, rebuilding colour, brightening faces and subjects, and delivering an immediately usable image in situations where more traditional camera pipelines can look extremely dark straight out of camera. The Sony FX3 comparison is especially revealing. The FX3 is a serious full-frame low-light video/cinema camera, here shown in 4K S-Log 3 at ISO 12,800, f/2.8 and a 180° shutter. That is not a weak setup. The Canon R6 V comparison is also striking, with the camera shown in 4K C-Log 2 at ISO 25,600, f/2.8 and 1/50. Yet, in these posted frames, both traditional camera images look dramatically darker than the Luna Ultra low-light mode. Of course, this does not mean the Luna is “better” than an FX3 or a Canon cinema-style camera in any broad professional sense. It is not. Log footage is not supposed to be judged as a finished image before grading, and larger-sensor cameras still have major advantages in colour depth, dynamic range control, lens choice, codec robustness, monitoring, rigging and production workflow. Properly exposed, lit and graded, they remain much more flexible tools. But that is not really the point. The disruptive point is that the Luna is delivering a visible, usable image immediately, in situations where a traditional cinema pipeline still expects the operator to expose carefully, light when necessary, grade later and finish the image in post. The iPhone comparison makes the argument even more interesting, because a phone is already a computational camera. Smartphones built their reputation by using software to overcome small sensors: multi-frame processing, HDR, tone mapping, noise reduction, subject detection and AI-assisted reconstruction. So when the Luna Ultra in 4K low light Mode produces a dramatically more visible image than the iPhone 17 Pro Max 1x lens in this kind of scene, the story is no longer just “computational camera beats traditional camera”. It is “a dedicated computational video camera can beat a flagship smartphone at its own game”. That distinction matters. Smartphone night photography and smartphone low-light video are not the same thing. Phones can do extraordinary things with stills because they can merge frames, hold exposure, stabilise aggressively and tolerate a more processed photographic look. Video is harder. It has to work continuously, frame after frame, without destroying motion, faces, texture and temporal consistency. In this example, the iPhone image remains very dark, while the Luna Ultra clearly prioritises subject visibility, colour recovery and immediate usability. So the real lesson is this: low-light performance is no longer just a hardware contest. It is sensor plus lens plus stabilisation plus temporal denoising plus tone mapping plus AI reconstruction plus exposure strategy. The most useful image may come not from the device with the largest sensor, but from the device with the smartest pipeline. The Luna does not replace cinema cameras. It does not replace phones either. But it attacks the space between them: fast, handheld, available-light video where the most important question is not “which camera has the biggest sensor?”, but “which camera gives me the shot I can actually use?” And in these comparisons, the answer is surprisingly uncomfortable for devices that are much bigger, much more expensive, and much more established. source -
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