Ok, here's the deal.....
Hype tells us that HEVC is twice as effecient as H.264. That's bull. Some experts say it's only 50% as effecient while many more experts say its really 30-50%. With it being stronger in low bit rates but losing effiency the higher and higher you go.
Adding 10bit color...
Thats cool. If you like the FOV look, that's fine. Heck, my own wife tells me she cant even see the difference between a standard definition DVD or 1080 Blu-ray or even 4k. To her, its all the same thing...I get it.
To my eyes? The difference between them is massive.
No....8bit or 10bit color sampling happens right at the individual photosite's analog to digital conversion process. It has nothing to do with the rest of the sensor. Its just the sampling depth on one single pixel voltage collection and quantization.
You article is good. But as I said earlier, their example of "sub sampling" is the "line skipping" technique. (As I said before, worst kind of sub sampling)
Subsampling using "pixel binning" is the other example shown. Notice how they list "pixel binning" as having "better image quality". This...
10bit 4k in FOV mode? ......I would argue that FOV mode doesnt even do "4k" by a long shot.
Try a shot using FOV "4k" and compare it to 1080 and you will see only a tiny difference.
High Quality 1:1 cropped readout mode is required for 4k. FOV (non HQ mode) is pixel binned garbage that DJI...
Pixel binning IS exactly sub sampling. So, subsampling and pixel binning are both correct statements. In other words, "sub sampling" is a generic term for "pixel binning".
Even line skipping falls inside the "sub sampling" catagory. (Its the worst form of sub sampling)
What we want is full...
Pixel binning is a form of sub sampling. Its taking RGGB clusters and subsampling them...by....averaging those clusters DOWN to one single value. So yes, DJI is "subsampling" by binning values. Is it "reading" every pixel? Possibly yes!...thats the INPUT. The OUTPUT that goes to video is cluster...
Part of this water color "pulsing" effect is NOT just interframe (long GOP) compression. A BIG part of the problem is heavy handed temporal noise reduction.
Noise reduction scrubs and strangles the very life out of an image. It literally SMEARS hi detail elements like grass and bushes and turns...
The "physical" size of a CMOS sensor doesnt have anything to do with readout speed (directly) A full frame 20mp sensor and a 1inch or smaller 20mp sensor produce the exact same raw sensor data amount. So image assembly and processing ability is identical across all of them.
The sensor size DOES...
Yes, it is valid to call this a "4k" sensor. (Both, the Zoom and the Pro in crop HQ) However, I'm only saying that a 6k (100%+50%+50% 4k) sensor readout can produce a nocicably higher frequency detail. Even using the same 4:2:0 chroma subsampling.
Simething tells me that this (5k 16x9 readout)...
Yes, almost every Sony camera in the past 4 years. (APSC, 1inch-type and Full frame) and now Panasonic GH5 and G9. Sony does 5k and 6k collection and assembly, preps that image and scales down to 4k....spectacular! The Panasonic GH5 does a 5k 16x9 sensor radout and assembly using a Sony IMX272...
Gotcha,....yes, the average camera consumer or drone buyer has no clue how image sensors work....and companies like DJI prefer to keep it that way!!!!
An ignorant customer is the BEST customer! ;- )
Im sorry but I dont understand your question. Are you asking how the Bayer sensor RGGB checkerboard works? If you have a 1million photo site (aka "1 megapixel") sensor, 50% of them are green, 25% red and 25% are blue. It takes 4 photosites to generate 1 single full color pixel.
This is very...
Actually, the truest form of 4k is not a 1:1 readout from a RGGB Bayer pattern sensor. The truest 4k would come from 3 RGB channels each at 8.2megapixels (3 RGB channels each with 100% full raster source)
What we have in a Bayer 1:1 RGGB readout is a green channel that is only 50% 4k resolution...
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