New Image Sensor Could Make Blown Highlights a Thing of the Past

0 Posted by - 15th October 2019 - Photography

German researchers have created a new high dynamic range (HDR) CMOS image sensor that features a new pixel design that could pretty much do away with blown highlights.

While traditional CMOS sensors have pixels that “clip” and stop capturing highlight data when they’re fully saturated — all additional data is lost in those areas of photos — the new German design boasts “self-resetting pixels.” These are pixels that can “reset” when they’ve reached capacity and continue to capture more highlight data.

By using special circuity that both counts how many times a pixel has reset as well as the charge remaining at the conclusion of an exposure, the sensor essentially has the ability to capture unlimited highlight details.

“Layout of the pixel cluster showing details of the pixel cell and the peripheral counter/shift register.”

The scientists at Institut für Mikroelektronik Stuttgart detailed their design in a paper titled “Realization and opto-electronic Characterization of linear Self-Reset Pixel Cells for a high dynamic CMOS Image Sensor” that was published last month in the journal Advances in Radio Science.

If this technology were developed further and introduced into digital still cameras, it could transform the mindset with which photographers shoot — instead of trying to figure out things like motion blur, depth of field, and noise with the specter of crushed shadows or blown highlights looming over the process, one could focus more on creativity and less on perfecting the exposure.

Left: A photo exhibiting blown highlights due to its sensor having insufficient dynamic range. Right: the red pixels indicate where there is no recoverable detail — the pixels are pure white. Photos by Daniel Schwen and licensed under CC BY-SA 2.5

But for now, it’s unclear if or when “self-resetting pixels” will make their way into consumer still cameras. Lead researcher Stefan Hirsch tells DPReview that while the current focus is in video for industrial applications, “basically it should also be possible to use for still images.”

(via Image Sensors World via DPReview)

read more at by Michael Zhang