“Photography has always been the art of balancing light and shadow. Nikon’s vision suggests a future where the camera no longer chooses between them, but learns to preserve the truth in both.” – MJ Martin
A Particularly Canadian Photography Problem
Canadian photographers routinely encounter one of photography’s hardest technical problems: enormous differences between light and darkness. Think of brilliant sunlight reflecting from fresh snow while dark spruce trees occupy the same frame, or a person standing inside a cottage while a sunlit lake fills the window behind them. A conventional camera sensor must normally choose one exposure compromise for the entire image.
Nikon has been developing an intriguing alternative. Instead of treating the sensor as one enormous light collector operating with a common exposure, Nikon proposes dividing it into many small regions capable of receiving different exposure times. It is rather like replacing one thermostat controlling an entire building with hundreds of individually controlled zones. (Justia Patents)
Exposure Becomes Local
Nikon’s patent describes pixel blocks that can share one exposure time while neighbouring blocks operate at another. One example uses blocks containing 16 by 16 pixels. Control circuitry can adjust exposure timing independently between these regions. Bright portions of a scene could therefore receive shorter exposures, while darker areas could collect light for longer periods. (Justia Patents)
That is fundamentally different from simply brightening shadows afterward. The objective is to capture more useful information before highlights become saturated or shadow information disappears into noise.
Dynamic range is essentially the distance between the faintest useful signal a camera can record and the brightest signal it can capture before clipping. Imagine a bucket collecting rain. Conventional exposure gives every bucket the same collection time. Nikon’s concept allows buckets beneath a downpour to stop collecting sooner while buckets receiving only a drizzle remain exposed longer.
Intelligence Inside the Sensor
The architecture becomes even more interesting because Nikon describes three stacked semiconductor layers. The first contains the light-sensitive pixels. The second incorporates control circuitry and analog-to-digital conversion. A third layer performs additional digital processing, including functions that can reduce or compress the volume of image data. (Justia Patents)
Moving intelligence physically closer to the photosites could eventually make the sensor itself an increasingly sophisticated computational device rather than merely a passive light detector.
Nikon Has Already Demonstrated the Principle
This is not purely theoretical research. In 2021, Nikon announced an experimental 17.8-megapixel, one-inch stacked CMOS sensor divided into 264 by 264 blocks, each containing 16 by 16 pixels. Nikon reported 110 dB of dynamic range at 1,000 frames per second and 134 dB at 60 frames per second. Importantly, exposure could be controlled independently by block. (Nikon)
Nikon’s subsequent research also acknowledged engineering challenges. Different exposure times between neighbouring blocks can produce changes in signal-to-noise ratio at block boundaries, requiring sophisticated processing to make the transitions visually seamless. (Nikon)
A Camera That Exposes the Scene, Not the Frame
The intriguing possibility is a future Nikon camera that does not ask, “What is the correct exposure for this photograph?” but instead asks, “What exposure does each part of this photograph require?”
The current patent does not establish that such technology will appear in a Nikon Z camera, nor does it specify the dynamic range of any future production sensor. (Y.M.Cinema Magazine) Nevertheless, Nikon’s earlier working sensor demonstrates that local exposure control is technologically credible.
For Canadian photographers, consider the possibilities. Would locally controlled exposure transform winter landscapes, northern lights photography, interiors, weddings, or backlit wildlife? Would photographers accept greater computational processing if it preserved considerably more highlight and shadow information? Most importantly, if exposure becomes different across a single sensor, are we approaching a point where the traditional concept of “the exposure” itself becomes obsolete?
The particularly significant discovery is that Nikon had already demonstrated the core principle in silicon years before this 2026 patent attracted attention. That makes this considerably more interesting than a typical speculative camera patent.
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 major certifications in business, computer programming, internetworking, project management, media, photography, and communication technology. He has completed over 80 next generation MOOC (Massive Open Online Courses) [aka Micro Learning] continuous education programs in a wide variety of topics, including: Economics, Python Programming, Internet of Things, Cloud, Artificial Intelligence and Cognitive systems, Blockchain, Agile, Power BI, Big Data, Design Thinking, Security, Indigenous Canada awareness, and more.
Martin is a volunteer, a photographer, a learner, a technologist, a philosophizer, and a romantic optimist.