pixel intensity values significantly lower when using your own flatfield and darkfield images

Hi not exactly sure why, but when i use my own images for flatfield and darkfield correction, pixel intensity values are much lower. when i have basic perform its own estimate, intensity values are near the same range as the original image.

[tying84]

Hi, Peter. Basicpy should perform similar to basic. Could you give me how you set lambda-flat and -dark in both basic and basicpy. Could you also try to use flatfield correction only (ignore the darkfield) Peter Maye ***@***.***> schrieb am Fr. 13. Sept. 2024 um 18:09:

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Hi not exactly sure why, but when i use my own images for flatfield and darkfield correction, pixel intensity values are much lower. when i have basic perform its own estimate, intensity values are near the same range as the original image. — Reply to this email directly, view it on GitHub <#6>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ACXOKO6YLKZKKQSOX7YKO7DZWME5DAVCNFSM6AAAAABOFVORGGVHI2DSMVQWIX3LMV43ASLTON2WKOZSGUZDKMJYGA2TEMY> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

I figured out what was going on sort of. if i do flatfield correction with numpy then i would take my flatfield image and divide it by its np.max value to normalize and generate a much smaller number for division. Apparently Basic was not doing this and so my pixel numbers were all much smaller.