From f6b8e0eae4374f339487a33e3e4fe5462d5816e1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=B6rg=20Frings-F=C3=BCrst?= Date: Sat, 25 Nov 2017 10:16:00 +0100 Subject: New upstream version 2.0.0 --- doc/inoutreferred.html | 48 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) create mode 100755 doc/inoutreferred.html (limited to 'doc/inoutreferred.html') diff --git a/doc/inoutreferred.html b/doc/inoutreferred.html new file mode 100755 index 0000000..41a3fd5 --- /dev/null +++ b/doc/inoutreferred.html @@ -0,0 +1,48 @@ + + + + Input vs. Output Referred images + + + +

Input vs. + Output Referred Images
+

+ A lot of Photography related sources recommend that images be + encoded in a large gamut colorspace such as ProPhoto, but don't + explain the implications of doing this in in the process of + subsequently displaying such photo's.
+

Input referred:

+ Images are encoded in a way that represents their unchanged or + originally captured values, in an encoding space that is larger + enough to store their gamut without clipping. The gamut of the + encoding space tells you nothing about the gamut of the images.
+
+ Typical: L*a*b*, Raw, ProPhoto, RIMM etc.
+

Output referred:

+ Images are modified (i.e. rendered) to fit within the gamut of a + specific real world output device (such as display or printer). This + means that typically the encoding space is a good representation of + the gamut of the images.
+
+ Typical sRGB, AdobeRGB, printer profile, display profile, etc.
+
+
+ Before displaying images that are Input Referred, they need to be + rendered to a smaller gamut. This may be done manually by adjusting + the images carefully to fit within the smaller gamut, or in some + automatic fashion such as by hard clipping them to the smaller + gamut, or by setting up a specific gamut mapping for each image or + set of images that occupy a similar gamut.
+
+ Note that setting up a gamut mapping from the very + large Input referred encoding gamut to the smaller output device + gamut will almost certainly result in a disappointing loss of + saturation, because the images deliberately do not occupy the large + encoding gamut, and so get unnecessarily squashed down to allow for + colors that they do not actually contain.
+
+ See also Scenarios.html#LP3.
+ + -- cgit v1.2.3