Hi, I'm experimenting with PyDNG
Context: I'm looking for a better solution to scan films (my project is the development of the Gugusse Roller)
Camera: the Raspberry Pi HQ camera.
20 frames (dng): www.deniscarl.com/samples/exposedok.zip
20 frames (dng, from same film but slightly overexposed): www.deniscarl.com/samples/saturationSample.zip
As a photographer, I'm used to post-process raws with lightroom, and because of my film scanner project I also have some experience of post-processing 12 bits tifs with DaVinci Resolve.
When I post-process the DNGs from PyDNG coming out of the HQ camera, like in 'cam.capture("00000.jpg", bayer=True)', then use the RPICAM2DNG.convert("fn.jpg", process=False, compress=False) I don't feel like I'm post-processing raws.. when I try to blow out the dark areas, they pixelize rapidly, much like jpegs... when I reduce the gain to recuperate the saturated areas, I'm not recuperating anything.... Maybe we get more bits, more values between the dark and the light, but we're not getting more dynamic range, it's not extending more in the dark and more in the light...
That's what I feel.... Am I doing something wrong?... is there a step that I missed to set my sensor in 12bits..... is there a step to set the sensor in some sort of d-log mode?
Here some samples coming from another camera (arducam 10MP monochrome camera, captured in 12 bits, trichromy and re-assembled with ridiculously simple opencv calls) 10 frames as 16bits tifs, www.deniscarl.com/samples/ArducamTrichr ... 12Bits.zip
With these I can recuperate a bit of data lost in the dark and in the clear.. it feels more like working with 12 bits...
Help me make the HQ Raspberry Pi camera work, I'll rather use it then having to go back to the slower usb arducam kit....
Thank you for your attention.