D E T A I L
Emotive Color Alex is comprised of two branches: a core LogC conversion, and display-ready variations. The core LogC at the heart of each variation captures the entirety of a static LogC response under a given light source. The display variations combine that LogC conversion with the correct RGB primaries for display, as well as a final film-derived envelope all in one conversion file - a .cube.
A True Match.
With the Emotive Color Alex
the P4K and GH5 are
now the perfect B-cams for the Arri Alexa.
Below are side-by-side comparisons of the Arri Alexa (EC709 Main) to the Alex Conversion (EC709 Main).
The raw sources are included with each conversion.
Click the images on the right side to toggle to default 709 color, before conversion.
The conversion introduces an organic rolloff tailored to the camera's dynamic range.
The rolloff repairs hue twists caused by uneven RGB channel clipping.
Click the image set below to toggle to the original rolloff, before conversion.
D E T A I L . D O C
Supported Light Sources
There are two versions of each conversion, Daylight and Tungsten. These were created independently under sunlight and halogen to achieve the highest accuracy for each light source. These may be used on footage with other light sources or mixed lighting. However, they will perform best in their white balance 'neighborhood'.
All post software that can accept .cube files will be able to use the Emotive Color conversions. 33x resolution variations are included for universal compatibility, when 65x files are not compatible. In some cases, post software may introduce a unique, slight color space distortion to particular camera source formats (for example, VLog .mp4 in Premiere Pro). To correct for this, [PRE] supporting files (made with the same sample interpolation engine) are provided to counteract the distortion in advance of the conversion.
D E T A I L . B G
Matching the interior contours (or 'waves') of two color spaces - not with a 2D, but rather 3D match - was a task of inordinate scale, one that required a computer-driven approach. The 'Emotive Color Engine' is written in C++ and accepts tens of thousands of color samples (~40k per camera) to reconstruct an accurate picture of what is going on within the color space of each camera. Through a series of iterative passes on the data, the model of the space is refined to a high degree of precision. By capturing the smooth curvature of space via the networked distribution of cube coordinates, the conversion is able to uncannily replicate the experience of filming in the target format.
1k Samples in Waveform
The Emotive Color project began in early 2017, with the release of the 10 bit GH5. I had a crazy idea that I decided to entertain - I would painstakingly manually map the entire 3D color space from the GH5 to the Alexa, my favorite camera. The initial efforts to map them showed promise, but it soon became clear that more would be needed. To achieve the level of smooth precision and subtle nuance I was after, the raison d'etre of the color I had sought, I would need to write an interpolation program. I dusted off my coding skills from the days of TI-83 games programming, and began to delve into C++. With successive iterations of the C++ engine, the conversion grew into a robust and reliable tool that I could have confidence in. The color of these portable cameras now truly inpires me.
Tina & Tanmayee - Original Shoot
Original Alexa Mini