The team of Mark Bocko and Zeljko Ignjatovic, professors of electrical and computer engineering, has designed a prototype chip that can digitize an image right at each pixel, and they are working now to incorporate a second technology that will compress the image with far fewer computations than the best current compression techniques.
The first technology being developed integrates an oversampling "sigma-delta" analog-to-digital converter at each pixel location in a CMOS sensor. Previous attempts to do this on-pixel conversion have required far too many transistors, leaving too little area to collect light. The new designs use as few as three transistors per pixel, reserving nearly half of the pixel area for light collection. First tests on the chip show that at video rates of 30 frames per second it uses just 0.88 nanowatts per pixel — 50 times less than the industry's previous best.
The second advance is called "Focal Plane Image Compression". Bocko and Ignjatovic have figured out a way to arrange photodiodes on an imaging chip so that compressing the resulting image demands as little as 1 percent of the computing power usually needed. The researchers came up with a way to make the physical layout of the light-sensitive diodes simplify the computation. The normal way to perform compression includes a computation called the discrete cosine transform, which checks how much a segment of an image resembles a series of cosine waves.
Ignjatovic and Bocko have laid out the pixels to lie at the peaks of cosine waves resulting in a non-uniformly distributed array, instead of an evenly spaced one. By using this trick, the amount of computation required to compress the image is slashed by nearly five-fold, the processor uses less power.
The team members are now looking to build a prototype chip that incorporates both technologies into a single unit.
COMPAMED.de; Source: University of Rochester