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light sensitivity when compared to 5T

layouts or other designs.

Time-Delayed Integration

Time-delayed integration (TDI)

imaging is another clever way to

better capture moving objects. By

synchronizing pixel exposure with the

mo-tion of the camera or the object,

the effective exposure time can be

increased. TDI implementation in

CMOS has traditionally been difficult

because of the lack of a charge-

addition circuit. The application

requires the combination of a global

shutter and a low-noise readout

method. Recently TDI in the digital

domain, enabled by high frame rates,

has become more and more popular,

even though the improvement signal-

to noise ratio improvement is lower

than for the traditional TDI opera-tion.

High Dynamic Range

(HDR)

Another factor in improving global-

shutter CMOS sensors is applying

a specific method to achieve a high

dynamic range (HDR). HDR expands

the scale of the captured light and

dark areas of an image to depict

them in a satisfactory way. This is

appropriate when capturing an im-

age before a bright sky background

or against very bright light sources,

which tends to deliver overexposed

images with blurred-out white

areas, whereas the darkest shadows

appear underexposed and recede

into an unstructured black. Thus, the

exposure levels for both light and dark

areas have to be equalized across the

image.

The reason for the unbalanced

treatment of light and dark areas is

the linear response curve of CMOS

image sensors as opposed to the

Figure 7: Piece-wise linear forming of the sensor response curve

achieves a higher dynamic range

archi-tecture patented by CMOSIS

differentiates it from the traditional

4T rolling shutter or the 5T global

shutter concept. This eight-transistor

pixel design is now implemented in

all global-shutter sensor types of the

CMOSIS CMV Series sensor family.

The crucial point is that the 8T

architecture provides two storage ele-

ments inside the pixel, rather than

just one (as in the 5T structure).

They separately store an image taken

at the beginning of the exposure,

and another one at the end of the

exposure period. Deploying a clever

algorithm, both these images are

subtracted during readout to lower

the total noise account and increase

the shutter efficiency.

This way, noise levels below 10

electrons can be reached, and a

shutter efficiency of 99.999 percent

has been demonstrated. The

technique, called correlated double

sampling (CDS), enables the lowest

fixed-pattern noise and low parasitic-

Figure 6: Different exposure times for odd and even lines achieve a

higher dynamic range

42 l New-Tech Magazine Europe