A Foveon-bash from PetaPixel ...

[MyReality]

We don't really need to go to PetaPixel to see Foveon bashing, we can just come here and read the plethora of home-grown massive attacks. I mean Sigma Camera Talk forum members have taken the art of X3 technology assassination to a whole new level. It's actually frowned upon to even offer up the the weakest defence of Foveon tech. It's been like that for years now.

I'll go back to being ignored now and break open the popcorn.

I suppose that some people are worried that they may have made a poor choice when they bought a camera. Some of their photos didn't come out well and they want to blame the camera.

The Sigma cameras that I've used have all been excellent. So have the Panasonic and Sony ones. I haven't used any Nikon or Canon digital cameras, but I bet they're good too -- the film models were.

Fair comment.

It's not Foveon basing: It is an almost entirely technical article, not opinion. People also need to look at the footnotes.

There are reasons that some technologies make it to the consumer and others don't.

The article came out in June 13, 2022.

" At best, from this calendar, it seems unrealistic to expect a mass-produced sensor before 2024."

Almost prophetic. I would say.

'Know your camera' is the key message here.

By the way, don't miss Sam Kanter's photos of people watching the eclipse. The dog is wonderful.

https://skanter.smugmug.com/Eclipse-Portraits-Bryant-Park-April-8-2024

Sam's a brilliant street shooter. These are good and lots of fun, but I prefer his black & white work.

 

[MyReality]

It is a well written mostly technical article, not opinion. Some Foveon users might be a little insecure about their gear.

The article came out in June 13, 2022.

" At best, from this calendar, it seems unrealistic to expect a mass-produced sensor before 2024."

Near prophetic.

 

[findthomas]

Yes, objectively speaking is quite an informative article actually. (I was referring to earlier to certain YouTubers who complain about Foveon).

I agree about its assessment about the market adoption of the Foveon design vs Bayer:

>>> Some of the interest in the Foveon technology vanished with the evolution of CMOS sensors as the dramatic increase in pixel density has reduced one of the main selling points of Foveon sensors.

>>> Bayer filters might not be the best way to capture colors, they are around for several decades and are absolutely dominant in the sensor market.

I also agree with the author’s view about machine-learning-based algorithms, namely that the proliferation of images produced from Bayer sensors allowed the vast improvement in these algorithms (more sample data to work on).

 

[xpatUSA]

I don't understand why you have a problem with that article , Ted.

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