CCD Primer

Bracket Pulsing
CCD Grading
Cosmic Rays
Dark Current
Deep Depletion CCD
Detection Modes
Dual Capacity Mode
Dual Readout Mode
Dynamic Range
Etaloning in CCDs
UV Extension
Fiber Optics
Flat Fielding
Full Well Capacity
Image Calibration
Imager Architectures
Image Intensifiers
Kinetics Mode
Matching Resolution
MPP Mode
Noise Sources
On-chip Multiplication Gain
Open Poly CCD
Optical Window
Quantum Efficiency
Readout vs Frame Rate
Reducing Dark Current
Saturation/ Blooming
Signal to Noise Ratio
Spurious Charge
XP Cooling


Saturation and Blooming

Saturation and blooming are phenomena that occur in all CCDs and that affect both their quantitative and qualitative imaging characteristics. If each individual pixel can be thought of as a well of electrons, then saturation refers to the condition where the well becomes filled. The amount of charge that can be accumulated in a single pixel is determined largely by its area. However, due to the nature of the potential well, which holds charge within a pixel, there is less probability of trapping an electron within a well that is approaching saturation. Therefore, as a well approaches its limit, the linear relationship between light intensity and signal degrades. As a result, the apparent responsivity of a saturated pixel drops.

At saturation, pixels lose their ability to accommodate additional charge. This additional charge will then spread into neighboring pixels, causing them to either report erroneous values or also saturate. This spread of charge to adjacent pixels is known as blooming and appears as a white streak or blob in the image. Because various CCDs contain different architectures, saturation and blooming can be defined and controlled in many ways.

Linear full well:
As the well starts to fill, the photometric response of the pixel departs from linearity. The point at which this deviation exceeds an acceptable level is defined as linear full well. Cameras are usually designed so that this signal level fills the full (12-bit, 14-bit, or 16-bit) dynamic range of the analog-to-digital converter.

Noise clipping:
One can see signs of saturation even before the linear full well condition is reached. As the wells fill, the random noise (square root of the signal) starts to be clipped at the top end. As a result, a condition termed noise clipping can be observed where the signal noise starts to decrease even though the signal is still increasing.

saturation and blooming image 1

Noise is clipped as signal nears saturation.

Output stage saturation:
When many pixels on the CCD are saturated, or when extensive parallel and serial binning is being performed, the output stage may saturate. Under extreme conditions (say, daylight illumination of a scientific camera), the charge overload in the output node can cause the output amplification chain to collapse, resulting in a zero (completely dark) image.

It should be noted that in all CCDs, wells can hold more than they can transfer. When they begin to fill, the saturation we observe is actually caused by approaching this maximum charge-transfer condition.

Blooming can be controlled in a couple of ways. For instance, a multiphase CCD can be partially clocked during integration to eliminate image blooming. During integration, two of the three clock-voltage phases used to transfer charge between neighboring pixels are alternately switched. When a pixel approaches saturation, excess charge is forced into the barrier between the Si and SiO2 layers, where it recombines with holes. As the phases are switched, excess charge in pixels approaching saturation is lost, while the charge in non-saturated pixels is preserved. As long as the switching period is fast enough to keep up with overflow signal generation, charge will not spread into neighboring pixels. Known as clocked anti-blooming, this technique is most appropriate for low-light applications.

Anti-blooming is traditionally controlled by specific CCD architecture design. Some cameras utilize CCDs that have charge drains running in a strip between every other column. Excessive charge that would normally cause blooming is siphoned off into this drain. Although such an architecture causes a reduction in the effective quantum efficiency and modulation transfer function (MTF), these devices are invaluable when light intensities span many orders of magnitude within a single image.

saturation and blooming image 2