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How do I increase the dynamic range of my camera?
For the sake of this article, dynamic range is defined as the difference between the maximum and minimum amounts of light that a sensor can measure. This is bounded on the upper end by the sensor’s full well depth (the maximum charge, measured in electrons, that any pixel can contain) and at the lower end by the camera’s read noise. It is measured in a number of different ways, but one simple method is to examine the number of different levels of grey that can be distinguished. The greater the dynamic range of a camera, the more grey levels that will be distinguishable in the resulting image.
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How is color processing performed on my camera’s images?
This article explains how color images are achieved with color sensors that use the Bayer Tile Pattern.
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How is depth determined from a disparity image?
This article details how users can determine the depth of a pixel based on the disparity image.
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How is the electronic shutter on a CCD implemented?
Like conventional film cameras, digital cameras require a shutter (either an external mechanical or electronic shutter) to control exposure for image quality. This article describes how the electronic shutter on a CCD is implemented.
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How long will it take for my order to be delivered?
How long will it take for my order to be delivered?
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How much do your software packages and software development kits (SDKs) cost?
Our software packages and software development kits are included free of charge with the purchase of a camera.
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How to apply correction factor values to perform falloff correction
This article explains how to perform falloff correction on an image by using the correction factor values obtained from the ladybugGetFalloffCalibration() function in the ladybug libary. This article is applicable to Ladybug5+, Ladybug5, Ladybug3, and Ladybug2. The Ladybug library has functionality to perform falloff correction on images, however in some situations a user may want to implement falloff correction themselves. One possible reason is performance increase which could be gained from performing falloff correction in CUDA.
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How to determine and interpret the Bayer Tile pixel format of a camera
All of our color imaging products are capable of streaming the raw, stippled 8-bit or 16-bit-per-pixel Bayer Tile image data to the PC, which can then be color processed / interpolated to 24- or 32-bit BGR data. See "Different color processing algorithms" for further details on color processing. To configure a camera to output raw Bayer data, consult your camera's Technical Reference manual.
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Image capture freezes with a FireWire camera after a period of successful image capture
During the capture of images from a FireWire camera, it has been reported that the image display may freeze and the grab function, e.g., flycaptureGrabImage2(), may start failing (e.g. FLYCAPTURE_FAILED).
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Imaging Products timestamping and different timestamp mechanisms
This article describes the different timestamps available to the user to determine when an image was captured.
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Advancing InAs Photodetectors with Mesa Etch and Surface Passivation Technologies
Indium Arsenide (InAs) is a semiconductor material highly valued for its exceptional electronic properties, making it a top choice for high-performance transistors, advanced optical devices, and chemical sensors. Its sensitivity to infrared light positions it as a key material for next-generation photodetectors, which are crucial in fields ranging from defense to environmental monitoring.
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High Operating Temperature MWIR Photodetectors
High Operating Temperature MWIR Photodetectors
