![]() A shot, opened and adjusted in FastRawViewer Not only can it quickly render and display the results of simulating exposure correction, applying white balance, contrast curve, etc., but it will also record these adjustments (as well as any ratings, labels, titles, or descriptions) in an XMP file so as to not have to repeat the aforementioned adjustments in Lr/ACR raw converter. To quickly assess what can be extracted from a shot via a raw converter, we created FastRawViewer. A shot taken at such exposure can be rendered (with the use of a raw converter and a graphic editor) so that the rendering of the scene will match the intention of the photographer and can be presented in the desired size. Let’s start by defining “good exposure.” Good exposure is that exposure which allows you to get high-quality source data – that is to say, with a low noise level and without clipping in the shadows and highlights in all of the elements of the scene that are important to its composition where you intend not to clip but to keep details and texture (of course, if the dynamic range of the scene is wider than the available dynamic range of the camera, it is a purely subjective decision, based on pre-visualization and if the dynamic range of the camera is wide enough, maximizing the exposure, often called “ Exposing to the Right” or simply “ETTR”, is the way to go). As a rule, these discussions result in the same question – what compensation to automatic metering ought one set to get consistently good exposure? It turns out that no autoexposure mode universally guarantees good out-of-box results. Latest Winrar and extract password protected files without error.Practically every day, one can see threads on photographic forums where members discuss the various different modes of automatic exposure, trying to find the right one. ![]() TO WIN USERS: If RAR password doesn't work, use this archive program: RAR Expander 0.8.5 Beta 4 and extract password protected files without error. TO MAC USERS: If RAR password doesn't work, use this archive program: RawDigger helps determine the idiosyncrasies of both camera and raw convertor by providing a true view into the raw data and comparing it to the results obtained through raw conversion.RawDigger can be used to check the amount of vignetting caused by the lens and the sensor.Landscape photographers may want to use RawDigger to determine the effect of the filters on the lens, to check neutrality of polarizing and neutral density filters and, possibly, to select color correction and color compensation filters to use in different light.For studio photography RawDigger helps establishing the proper light filtration to achieve the cleanest possible shadows on the shots.RawDigger is more precise than any exposure meter for the purpose of evaluation of the uniformity of fill light and reproduction light setups (in terms of the evenness of both color balance and luminosity across the background).RawDigger is a useful tool for examining how the relative per-channel underexposure depends on the color of light.If the shadows look blotchy, colorless, or details in shadows are poorly resolved you will be able to determine how much they are underexposed and set Underexposure (UE) indicator in RawDigger accordingly.RawDigger helps determining the raw level at which the overexposure “blinkies” start on the camera LCD and to know how much headroom is still available after the blinkies start showing.For ETTR practitioners, RawDigger makes it very simple to compare raw histogram to in-camera histogram and account for the difference, making the exposures as much “to the right” as possible.That is, RawDigger lets you establish the headroom in highlights and obtain optimal exposures. RawDigger allows determining how exposure meter is calibrated and what raw level corresponds to the midpoint of in-camera histogram.Overexposure (OE) indicator will show you exactly what areas of the shot are blown out and in which color channel(s) it happened (best if used in channel view).RawDigger displays the real histogram of the raw data, which greatly differs from the in-camera histogram and histograms presented by most of the raw converters. ![]()
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