“Colour science is the quiet agreement between your camera, your software, and the screen that lets your story look the way you intended.” – MJ Martin
Introduction
A LUT is a Look Up Table. In imaging, it is a mapping that converts one set of colour and tone values into another. For video shooters using a Nikon Z series camera that supports LUT workflows, LUTs are primarily about controlling how footage is viewed and how it can be transformed in post production. They do not magically create detail that was not captured, and they do not fix exposure or focus mistakes. What they do provide is a repeatable, technical method to translate footage from a capture oriented format into a viewing oriented format, or from one creative look into another, with predictable results.
What LUTs Are
A LUT is a table of input values and output values. Each pixel in an image has values that describe brightness and colour. A LUT takes those values and remaps them. The simplest LUT is one dimensional and remaps only luminance, meaning the brightness curve. More powerful LUTs are three dimensional, meaning they map colour and brightness together across a cube of values. This is why LUTs can simultaneously change contrast, saturation, colour balance, and highlight roll off behaviour in a single operation. In practical terms, a LUT is a pre defined transform that can be applied to footage either for monitoring, for conversion, or for a finished creative style.
Colour Science
Colour science is the technical field that explains how colour is created, measured, captured, encoded, displayed, and perceived, so that what you record or photograph can look consistent and intentional from camera to final screen or print. In practice it covers the physics of light, the way camera sensors and filters respond to different wavelengths, how images are converted through colour spaces and transfer functions, and how displays reproduce colour using their own primaries and brightness limits. It also includes human vision, because our eyes and brains interpret colour contextually, which is why the same RGB values can look different under different lighting or backgrounds. For cinematography and Nikon ZR workflows, colour science is the reason profiles, white balance, gamma, gamut, and colour management exist, and it is what lets you predictably match shots, protect skin tones, and deliver reliable results in Rec.709, HDR, or print.
Example
Imagine you are filming a short travel story with three cameras: your Nikon ZR for interviews and controlled b roll, your iPhone 17 Pro Max for quick handheld moments, and a DJI Mini 5 Pro for establishing aerials. You shoot the Nikon in a log or flat profile to preserve dynamic range, the iPhone in HDR video, and the drone in its own log or “normal” colour mode. In the edit, you first apply a technical LUT or colour space transform to each source so they all land in the same delivery space, typically using the Rec.709 for standard viewing, which gives you a consistent baseline contrast and colour. For example, you convert the Nikon log to Rec.709 with the manufacturer or a trusted technical LUT, convert the drone log the same way, and use a proper HDR to Rec.709 transform for the iPhone clip so highlights do not look harsh or grey. Once everything matches broadly in exposure and white balance, you apply one creative LUT on an adjustment layer across the whole timeline to unify the mood, then do small shot by shot trims to keep skin tones natural and skies consistent. The result is that three very different devices cut together like one camera system, with LUTs doing the heavy lifting of normalization first and style second.
What LUTs Do
LUTs are used for three common purposes. First, they can convert footage from a log profile into a standard display space. Log footage is intentionally flat and low contrast to preserve highlight and shadow detail, but it looks dull on a normal screen. A technical conversion LUT can bring that log footage into a standard viewing gamma such as Rec. 709 so you can judge exposure, skin tones, and lighting on set. Second, LUTs can apply a creative look. For example, a LUT might warm skin tones, push shadows toward teal, or compress highlights for a softer cinematic feel. Third, LUTs can help keep colour consistent across cameras, lenses, and lighting conditions by providing a stable starting point for grading.
Why LUTs Are Important
Modern video workflows depend on consistency and speed. LUTs matter because they reduce guesswork. When you shoot log or a wide gamut profile, your on camera preview can be misleading unless you apply a monitoring transform. A well chosen LUT helps you make accurate decisions about exposure and lighting while you are recording. LUTs also help you repeat a look across multiple shoots. If you are producing content for a brand, a client, or your own channel, repeatability is valuable. Finally, LUTs act as a bridge between capture and delivery. They can translate what the sensor recorded into what your editing system and display expect, which reduces the risk of unpredictable colour shifts later.
How LUTs Work
A LUT is applied after the camera has recorded the scene, either as part of monitoring, as part of in camera processing, or during editing. Conceptually, each pixel value is used as an address into the table, and the table returns a new value. In a one dimensional LUT, the input might be a brightness level from black to white, and the output is a new brightness level that follows a curve. In a three dimensional LUT, the input is a colour defined by red, green, and blue values plus the associated luminance behaviour, and the output is a new colour. Because the LUT is just a mapping, it is fast. It is also deterministic, meaning you get the same output every time you apply it to the same input. In editing software, LUTs are typically applied as an effect or as part of a colour management pipeline. In a Nikon Red workflow, LUTs are often most useful for preview and for establishing a starting point before fine grading.
Who Should Use LUTs
LUTs are not only for professional camera operators. Amateur cinematographers can benefit greatly, especially when learning to shoot log, controlling mixed lighting, or trying to match shots. The main risk for beginners is treating LUTs as a one click fix. A LUT expects the footage to be exposed and white balanced within a reasonable range. If exposure is significantly off, a LUT can exaggerate problems, such as crushed shadows, clipped highlights, or strange skin tones. Used correctly, LUTs help amateurs develop a disciplined workflow because they encourage consistent capture and consistent evaluation.
Types of LUTs and When to Use Them
There are two broad categories that matter most in practice: technical LUTs and creative LUTs. A technical LUT is used for conversion or normalization. You use it when you shoot log or a wide gamut profile and you need a correct baseline for viewing or editing. It is the LUT you apply first, because it establishes the expected contrast and colour space. A creative LUT is used to shape the final mood. You use it after normalization, and you adjust intensity to taste. Within those categories, LUTs are commonly described as one dimensional or three dimensional. One dimensional LUTs are mainly for tonal curves and are useful when you want contrast shaping without complex colour shifts. Three dimensional LUTs are used when colour relationships matter, such as skin tone handling, film emulation, or stylized palettes. The key habit is to separate conversion from styling. Normalize first, then create the look, then refine with manual grading.
Summary
LUTs are Look Up Tables that remap colour and tone values in a fast, repeatable way. They are used to convert flat log footage into a standard viewing space, to apply creative looks, and to maintain consistency across shots and cameras. They work by replacing pixel values with new values defined by a one dimensional or three dimensional mapping. LUTs are important because they support accurate on set monitoring and efficient post production. They are useful for professionals and amateurs alike, provided exposure and white balance are handled carefully. In practice, use technical LUTs for normalization first, then apply creative LUTs to define style, and finish with manual adjustments for a controlled, polished result.
About the Author:
Michael Martin is the Vice President of Technology with Metercor Inc., a Smart Meter, IoT, and Smart City systems integrator based in Canada. He has more than 40 years of experience in systems design for applications that use broadband networks, optical fibre, wireless, and digital communications technologies. He is a business and technology consultant. He was a senior executive consultant for 15 years with IBM, where he worked in the GBS Global Center of Competency for Energy and Utilities and the GTS Global Center of Excellence for Energy and Utilities. He is a founding partner and President of MICAN Communications and before that was President of Comlink Systems Limited and Ensat Broadcast Services, Inc., both divisions of Cygnal Technologies Corporation (CYN: TSX).
Martin served on the Board of Directors for TeraGo Inc (TGO: TSX) and on the Board of Directors for Avante Logixx Inc. (XX: TSX.V). He has served as a Member, SCC ISO-IEC JTC 1/SC-41 – Internet of Things and related technologies, ISO – International Organization for Standardization, and as a member of the NIST SP 500-325 Fog Computing Conceptual Model, National Institute of Standards and Technology. He served on the Board of Governors of the University of Ontario Institute of Technology (UOIT) [now Ontario Tech University] and on the Board of Advisers of five different Colleges in Ontario – Centennial College, Humber College, George Brown College, Durham College, Ryerson Polytechnic University [now Toronto Metropolitan University]. For 16 years he served on the Board of the Society of Motion Picture and Television Engineers (SMPTE), Toronto Section.
He holds three master’s degrees, in business (MBA), communication (MA), and education (MEd). As well, he has three undergraduate diplomas and seven certifications in business, computer programming, internetworking, project management, media, photography, and communication technology. He has completed over 60 next generation MOOC (Massive Open Online Courses) continuous education in a wide variety of topics, including: Economics, Python Programming, Internet of Things, Cloud, Artificial Intelligence and Cognitive systems, Blockchain, Agile, Big Data, Design Thinking, Security, Indigenous Canada awareness, and more.