A Frequency Domain and pixel size

AI Thread Summary
The discussion revolves around the challenges faced when switching from a CCD camera with 6.7-micrometer pixels to one with 1.67-micrometer pixels in an off-axis digital holographic camera setup. The first-order interference pattern was successfully observed with the larger pixels but disappeared with the smaller ones. It is suggested that the smaller pixel camera may have a reduced sensor size, potentially cutting off low spatial frequency information. Further inquiries focus on the test image used, the appearance of the first-order pattern, and the dimensions of the image arrays. Understanding these factors is crucial for diagnosing the issue with the smaller pixel camera.
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what is the relation between pixel size of CCD camera and field of view in frequency domain?
I'm developing an off-axis digital holographic camera. Initially, I employed a CCD camera with 6.7-micrometer pixels and successfully observed the first-order interference pattern in the Fourier domain. However, when I switched to a CCD camera with smaller pixels (1.67 micrometers), the first-order pattern vanished. Can you explain why this occurred?
 
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Maybe the smaller pixel camera sensor was also smaller overall, so the sensor array fell within the first-order pattern. You unintentionally cut the low spatial frequency information by using a narrower camera.
What was your test image.
What did the first-order pattern look like?
What were the outer dimensions of the image arrays?
 
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