DDan wrote in post #3868848
Dave. The rest of us can't discuss this topic without you dragging irrelevant trivia into the discussion. Start your own thread please. Now this is another thread I have to ignore.
Dan,
There really isn't that much disagreement.....only slight semantics. I implore everyone to read this article if they don't think file formats have anything to do with tonal range.....which has nothing to do with dynamic range
http://www.cambridgeincolour.com/tutorials/dynamic-range.htm
also, more about HDR images:
http://gl.ict.usc.edu/HDRShop/
The "dynamic range" of a scene is the contast ratio between its brightest and darkest parts. A plate of evenly-lit mashed potatoes outside on a cloudy day is low-dynamic range. The interior of an ornate cathedral with light streaming in through its stained-glass windows is high dynamic range. In fact, any scene in which the light sources can be seen directly is high dynamic range.
A High-Dynamic Range image is an image that has a greater dynamic range than can be shown on a standard display device, or that can be captured with a standard camera with just a single exposure.
HDR images also have the important property that their pixel values are proportional to the amount of light in the world corresponding to that pixel, unlike most regular images whose pixel values are nonlinearly encoded.
HDR Images are typically generated by combining multiple normal images of the same scene taken with different intensity levels, or as the result of creating a global illumination rendering. In practice, high dynamic range pixels use floating-point numbers, capable of representing light quantities of one to a million and beyond. Low-dynamic range images usually represent pixels using eight bits per channel, with pixel values ranging as integers between 0 and 255.
As for what is irrelevant......wasn't the OP what PQ difference you might find if a processor has greater tonal range then the DR range of the sensor? humm: me talking about DR and tonal range is not relevant at all
