3/17/2023 0 Comments Fastrawviewer culling a weddingI have read it before, but I’ll raid the chocolate supply and go back over it in detail. Furthermore, if I photograph a dark to light gradient and apply some edits, the shadows don’t posterise first, the whole lot goes at once. I felt that the “top 3% contains 50% of your captured data” was false because I see no loss of information or lack of smooth tonal gradations in the midtones or shadows in my images, which would be expected if there was a lack of “data” there. I was looking for someone who could explain the terms and do the math. I made a short and dirty search and picked that article at random. In that article, I’ve shown where the stops levels are on both linear and RGB space histograms. This is explained in my article A Better Histogram, which includes true stops histograms. Photo histograms are histograms of RGB data, so the horizontal axis is warped by the TRC of the particular RGB space. Moreover, the claim that the horizontal axis of a histogram is a stops (logarithmic) scale is wrong. The Photomorrobay article wrong because it seems to be confusing raw data with RGB data. Long story short, the TRC transformation is why 8 bits in sRGB or ProPhoto can have as much dynamic range as 14-bit raw data. RGB space data has been transformed by the inverse of the tone reproduction curve (TRC) of the particular RGB space. sRGB, Adobe RGB, or ProPhoto RGB data is not linear. It is important to always keep in mind that the 50% in the top stop rule only applies to linearly quantized data, which means linearly proportional to the photon count at the sensor. Other than that, you are correct, that that article is pretty much off the rails. I will credit that article for using the term “discrete tonal value,” which I refer to as quantization levels, rather than “data” which, sorry, is just wrong. A search has brought up this: but there are a lot of other references around if you look.ĭave – I checked out this reference – although I didn’t read the whole thing. Experts can also use its more advanced evaluation tools to quickly sort through a stack of RAW shots and choose the ones they need.There was a discussion pointing out that “the top 3% contains 50% of your captured data!” was a myth. Verdict:įastRawViewer's wide format support makes it a very useful RAW viewer for everyone. (Windows only) A warning is issued if 'pass image to external program' requires privilege escalation. New setting: Folders panel - gear menu - Show horizontal scrollbar (Windows only) New Preferences setting: Interface - Set the main menubar colors to match the main window. Run program/Pass image in main menu/context menus has been reworked Faster thumbnail reading, especially on slow media/WiFi Once you've finished, you can move the picture to defined "accepted" or "rejected" folders, pass it to other programs for further processing, or just click "Next" to check the next image. You also get features to highlight focus peaking (the sharpest areas of an image), check noise levels, adjust white balance, boost shadows, apply tone curves, assign an XMP rating or label. Exposure changes can be recorded in XMP files, ready for use by Adobe Bridge/ Camera Raw/ Lightroom. There are tools to highlight under and overexposed areas of the image, and manually correct any issues. Not bad, especially as FastRawViewer also displays the file name, resolution, key EXIF metadata, the actual RAW histogram, and more.Ĭrucially, the developer claims FastRawViewer is "the only WYSIWYG RAW viewer that allows to see RAW exactly as a converter will "see" it", giving you the most accurate look at the image. It's super-fast, too, rendering even our largest test images in a fraction of a second. We didn't test that, but it had no problem at all with our Canon, Nikon, Olympus and Panasonic RAWs. The program claims to support "almost every single existing RAW format", "including native out-of-camera DNG files as well as the files converted to DNG". FastRawViewer is a useful tool for viewing and processing RAW images.
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