New Image Sensor Technology Developed by Kodak

Next Generation Color Filter Patterns Deliver Higher Quality Photos Under Low-Light Conditions

Kodak Press Release Summary:
ROCHESTER, N.Y., June 14 - Eastman Kodak Company today introduced a groundbreaking advancement in image sensor technology that will help to make dark, blurry digital photos a thing of the past. Kodak’s new sensor technology provides a 2x to 4x increase in sensitivity to light (from one to two photographic stops) compared to current sensor designs. Image sensors act as the “eye” of a digital camera by converting light into electric charge to begin the capture process.

This breakthrough advances an existing Kodak technology that has become the standard in digital imaging. Today, the design of almost all color image sensors is based on the “Bayer Pattern,” an arrangement of red, green, and blue pixels that was first developed by Kodak scientist Dr. Bryce Bayer in 1976. In this design, half of the pixels on the sensor are used to collect green light, with the remaining pixels split evenly between sensitivity to red and blue light. After exposure, software reconstructs a full color signal for each pixel in the final image.

Kodak’s new proprietary technology adds panchromatic, or “clear” pixels to the red, green, and blue elements that form the image sensor array. Since these pixels are sensitive to all wavelengths of visible light, they collect a significantly higher proportion of the light striking the sensor. By matching these pixel arrangements with advanced software algorithms from Kodak that are optimized for these new patterns, users can realize an increase in photographic speed, directly improving performance when taking pictures under low light. Kodak’s new technology also enables faster shutter speeds (to reduce motion blur when imaging moving subjects), as well as the design of smaller pixels (leading to higher resolutions in a given optical format) while retaining performance.

“This represents a new generation of image sensor technology and addresses one of the great challenges facing our industry – how to capture crisp, clear digital images in a poorly lit environment,” said Chris McNiffe, General Manager of Kodak’s Image Sensor Solutions group. “This is a truly innovative approach to improving digital photography in all forms, and it highlights Kodak’s unique ability to differentiate its products by delivering advanced digital technologies that really make a difference to the consumer.”

Kodak is beginning to work with a number of leading companies to implement this new technology in system-wide solutions and to streamline the design-in process.

Kodak is developing CMOS sensors using this technology for consumer markets such as digital still cameras and camera phones. As the technology is appropriate for use with both CCD and CMOS image sensors, its use can be expanded across Kodak’s full portfolio of image sensors, including products targeted to applied imaging markets such as industrial and scientific imaging. The first Kodak sensor to use this technology is expected to be available for sampling in the first quarter of 2008.

For additional information regarding this technology, please contact Image Sensor Solutions, Eastman Kodak Company at (585) 722-4385 or by email at imagers@kodak.com. For more information on Kodak’s entire image sensor product line, please visit www.kodak.com/go/imagers.

About Eastman Kodak Company
Kodak is the world’s foremost imaging innovator. With sales of $10.7 billion in 2006, the company is committed to a digitally oriented growth strategy focused on helping people better use meaningful images and information in their life and work. Consumers use Kodak’s system of digital and traditional products and services to take, print and share their pictures anytime, anywhere; Businesses effectively communicate with customers worldwide using Kodak solutions for prepress, conventional and digital printing and document imaging; and Creative Professionals rely on Kodak technology to uniquely tell their story through moving or still images.
 

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