![]() To edit an image that is not originally Hicolor or Truecolor, you can convert it, edit the image, and then convert it back to its original color depth. However, to use certain image enhancement tools, filters, blends, and adjustment options, the image must be Hicolor or Truecolor. You can use ACDSee Pro to convert an image to any of these color depths. In View mode, click Tools | Modify | Change Color Depth, and select one of the options described below.Ģ56-color palette (GIF format uses 256 colors by default)ġ6,777,216-color palette of all colors visible to humans Color depth refers to the range of colors an image contains. You can modify an image's color depth in View mode. ©2023 Andersson Technologies LLC - UNOFFICIAL - Converted from original PDF.Changing image color depth Changing image color depth You can adjust the range control knobs and set your splines to map the maximum value (see Auto-set on the right-click menu to help) either down 1.0, or also set the output maximum range to the same value, preserving (with possible modifications) the overrange values. NOTE: The Kurves color correction has another more advanced way to deal with larger floating point values. The two controls serve different purposes, though the end result may appear the same at first glance. The Exposure control changes the actual floating-point values that will be written back to disk later. This is quite different than the Exposure control on the Color tab. Range Adjustment, and it will not affect the floating- point images later written back to disk Only the conversion to integer for display and tracking-not the values themselves. The effect of this control is to brighten or darken the displayed image, but it affects for floating-point) on the Shot setup dialog allows you to convert a larger or smaller range of floating-point numbers into the 0 to 1 range where they can be inter-converted. The 0 to 1 range is the only portion that will be converted to or from 8- or 16-bit. With plenty of dynamic range in the original image, there may be highlights that may be much larger, or details in the shadow that are much lower. With all the numbers ranging from 0 to 1, it is easy to convert back and forth.īut, the floating point values do not necessarily have to range solely between 0 and 1. But to convert back and forth, the numbers are considered to range from 0 to 1.0 (in steps of 1/255), or 0 to 1.0 (in steps of 1/65535).Ĭorrespondingly, the most-used values of the floating-point numbers ranges from 0 to 1.0 also. To understand the necessary controls, here are a few details on how that is done (industry-wide).Įight and sixteen bit (unsigned) integers are normally considered to range from 0 to 255 or 65535. ![]() Though a floating-point image-float or half-provides accuracy and dynamic range, to track or display it, it must be converted to a standard 8-bit or 16-bit form, albeit temporarily. Convert Any Image Convert more than 500+ image formats into popular formats like JPG, PNG, WebP, and more. Click on the blue Convert button to start the conversion. Select a target image format from the Convert To drop-down list. Some additional processing time will be required. How to Convert Images Click the Choose Files button to upload your files. If you need the extended range of a float (or 16-bit int) format, you can use that for any processing (especially gamma correction and 3-D LUTs), to reduce banding, then select a smaller format, Half, 16-bit, or 8-bit, for storage. SynthEyes offers separate bit-depth selections for processing and for storage. On modern processors, it takes only a little extra time to translate between the half format and an 8 bit, 16-bit, or float format you can track or display. Half-floats are half the size, only 16 bits, so you can fit more images into memory simultaneously. ![]() The half format does not have as much dynamic range, but it is almost always enough for practical work even using High-Dynamic-Range images. DPX images will offer the highest performance, similar to BMP for 8-bit images.įloating point images may use 32-bit floats, or the 16-bit “half” format. Floating-point images offer the greatest accuracy and dynamic range, at the expense of substantially greater memory requirement and processing time. SynthEyes can handle floating-point images from ARRIRAW, Blackmagic RAW, DNG, DPX, EXR, PSD, and TIFF image formats.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |