Why do new DSLR/ML cameras not have computational photography ?

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mermaidkiller Contributing Member • Posts: 906
Why do new DSLR/ML cameras not have computational photography ?
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Smartphones have builtin computational photography (CP) options like image stacking, HDR stacking which allows making decent photos, even under low light conditions, despite its tiny sensor.

That is one of the reasons of the decline of camera sales, particularly point and shoots.

But Canon / Nikon / Sony and others do not offer these features in new cameras like the EOS R(P), Z6/7, A7R4 and even high-end P&S like G7XMk3 or RX100M6.

The only CP options they have is a maximum three images (JPEG only) stacking resulting in a mediocre JPEG result. When you want to do this with RAWs, or more than three images, you need external software.

When smartphones can make good images with these tricks with their tiny sensor, the much larger sensor cameras can enhance images even better with the same computational photography !

Why don't the camera manufacturers not include (or even in a firmware update of an existing camera) these in-camera options like a smartphone does, like HDR, focus and low light image stacking, from RAWs resulting in a high definition image in TIFF or HEIF ?

Then post processing in LR / Affinity / PS or whatever is easier, because the user does not need to stack the images anymore.

And why not implementimg the much better HEIF format ?

And allowing the user to make custom filenames and album folders with recognizable names (e.g. folders like 'California trip 2020' instead of 123CANON) rather than the clunky all caps 8.3 names, like DSC12345.JPG or IMG_1234.JPG ?
The FAT file system used on memory cards allows filenames beyond that since 20 years.

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