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commit 24338bb477860ef7fdd8ce2f16fe9eeb357ef9eb
Author: raiden00pl <raide...@railab.me>
AuthorDate: Tue Oct 24 14:06:54 2023 +0200
remove tools/README.md. Migrated to Documentation/applications/tools
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tools/README.md | 30 ------------------------------
1 file changed, 30 deletions(-)
diff --git a/tools/README.md b/tools/README.md
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-# Tools
-
-## NxWidgets `bitmap_converter.py`
-
-This script converts from any image type supported by Python imaging library to
-the RLE-encoded format used by NxWidgets.
-
-RLE (Run Length Encoding) is a very simply encoding that compress quite well
-with certain kinds of images: Images that that have many pixels of the same
-color adjacent on a row (like simple graphics). It does not work well with
-photographic images.
-
-But even simple graphics may not encode compactly if, for example, they have
-been resized. Resizing an image can create hundreds of unique colors that may
-differ by only a bit or two in the RGB representation. This _color smear_ is
the
-result of pixel interpolation (and might be eliminated if your graphics
software
-supports resizing via pixel replication instead of interpolation).
-
-When a simple graphics image does not encode well, the symptom is that the
-resulting RLE data structures are quite large. The palette structure, in
-particular, may have hundreds of colors in it. There is a way to fix the
graphic
-image in this case. Here is what I do (in fact, I do this on all images prior
to
-conversion just to be certain):
-
-- Open the original image in GIMP.
-- Select the option to select the number of colors in the image.
-- Pick the smallest number of colors that will represent the image faithfully.
- For most simple graphic images this might be as few as 6 or 8 colors.
-- Save the image as PNG or other lossless format (NOT jpeg).
-- Then generate the image.
