ASTOUNDING LEVELS OF DYNAMIC RANGE
Filmic CineKit
Filmic Pro with CineKit transforms the latest devices into the ultimate cinema camera. Now with LogV3 in 10-bit on iPhone 12 series and select Android mobile devices.
True LOG for Mobile
Filmic’s LogV2 is a quantum leap in high-end mobile video imaging with up to 2.5 extra stops of dynamic range for 8-bit devices. Log V2 works on all iOS devices and most Android camera 2 API capable devices and is part of our Cinematographer Kit in-app purchase.
Now Filmic is proud to introduce the all-new LogV3 for iPhone 12 series and select Android devices. The flat and Log gamma curves in the Cinematographer Kit give filmmakers the latitude they need for color grading data-rich content for spectacular results.
LogV2 Tutorial
10-Bit SDR LogV3 Tutorial
An Extra 2.5 Stops of Dynamic Range
Filmic Pro LogV2 Showcase
on iPhone XS Max
Filmic Pro LogV2 Showcase
on iPhone SE
Filmic Pro LogV2 Showcase
on Samsung Note 9
LOG V2 for Filmic Pro elevates the mobile filmmaking experience by delivering up to 2.5 stops of additional dynamic range for mobile devices.
LOG V2 enables the XS and 11 series devices to exceed 12 stops of total dynamic range at base ISO. These results rival those of high-end cinematic cameras such as the Blackmagic Pocket Cinema Camera and the Panasonic Lumix GH5s.
Grading LOGv2 is a Breeze With Our Official LUT Pack
Supercharge your post-production workflow with our official Filmic LUT Pack and instantly conform your Flat & LOG video to rec.709. Fully compatible with Premiere Pro, FCPX, and Davinci Resolve.
Prefer to edit and grade on mobile? The official Filmic V2 LUTs are also available in LumaFusion and VideoLUT on iOS.
Filmic Pro + FilmConvert
FilmConvert – makers of our favorite film emulation grading software – have released new camera profiles for the iPhone XS/XS Max/XR specifically for use with Filmic Flat and LogV2. Click below for a special discount for Filmic users.
Filmic Pro LOGv2 Technical Overview (iOS)
LogV2 is the culmination of years of work done on a proprietary computational-imaging module that we internally call “Cubiform.” Cubiform creates a mathematical environment where we can process the luma and chroma of an image with 64-bit precision.
In the case of LogV2, we use this high-precision environment to construct a luma-map from the 8-bit source. Because the luma-map is derived from a flattened 24-bit RGB vector, the resulting fidelity exceeds the 8-bit precision of the individual Red, Green, and Blue elements.
This high-quality luminance information allows us to reconstruct the gamma of the identity image using a process called ‘gamma vectorization.’
After this operation is complete, we map the 64-bit scalar representation of the image into an 8-bit container for publishing to our encoder. The result, as you have seen, is dynamic range and tonal coherence that seemingly bypasses the sparse data-point problems associated with traditional 8-bit gamma augmentations.
With LogV2, we have chosen to abandon linearization and embrace the dynamic nature of the iOS pixel buffer stream.
Instead of attempting to perfectly linearize the image, we modify the native gamma with a delta-augment that results in a spline that resembles a tradition log base 2 profile.
Because iOS tone mapping is still active, the gamma spline will occasionally take on sigmoid characteristics. LogV2 produces an image with non-linear saturation: it is greatest at the mid-tones and progressively decays as the luminance approaches the black or white points.
Filmic Pro LOGv2 Technical Overview (Android)
On Android devices supporting Gamma Curve Remapping, we take advantage of this tool to provide a custom LOG curve at the sensor level. This allows us to greatly expand the dynamic range of the sensor during the first stages of the camera pipeline. The resolution of this Gamma Curve is device-dependent and could vary from 16 to 512 remap points, however in Filmic Pro we don’t allow less than 32 to ensure superior quality.
For those Android handsets that do not support Gamma Curve Remapping, we apply the same technique as iOS.