Change "\," to just "," in function signatures. This is easier to maintain,
works better with LaTeX2HTML, and allows some simplification of the python.sty
macros.
diff --git a/Doc/libimageop.tex b/Doc/libimageop.tex
index e5d494d..4a93487 100644
--- a/Doc/libimageop.tex
+++ b/Doc/libimageop.tex
@@ -17,7 +17,7 @@
\end{excdesc}
-\begin{funcdesc}{crop}{image\, psize\, width\, height\, x0\, y0\, x1\, y1}
+\begin{funcdesc}{crop}{image, psize, width, height, x0, y0, x1, y1}
Return the selected part of \var{image}, which should by
\var{width} by \var{height} in size and consist of pixels of
\var{psize} bytes. \var{x0}, \var{y0}, \var{x1} and \var{y1} are like
@@ -28,14 +28,14 @@
holds for the y coordinates.
\end{funcdesc}
-\begin{funcdesc}{scale}{image\, psize\, width\, height\, newwidth\, newheight}
+\begin{funcdesc}{scale}{image, psize, width, height, newwidth, newheight}
Return \var{image} scaled to size \var{newwidth} by \var{newheight}.
No interpolation is done, scaling is done by simple-minded pixel
duplication or removal. Therefore, computer-generated images or
dithered images will not look nice after scaling.
\end{funcdesc}
-\begin{funcdesc}{tovideo}{image\, psize\, width\, height}
+\begin{funcdesc}{tovideo}{image, psize, width, height}
Run a vertical low-pass filter over an image. It does so by computing
each destination pixel as the average of two vertically-aligned source
pixels. The main use of this routine is to forestall excessive
@@ -43,18 +43,18 @@
interlacing, hence the name.
\end{funcdesc}
-\begin{funcdesc}{grey2mono}{image\, width\, height\, threshold}
+\begin{funcdesc}{grey2mono}{image, width, height, threshold}
Convert a 8-bit deep greyscale image to a 1-bit deep image by
tresholding all the pixels. The resulting image is tightly packed and
is probably only useful as an argument to \code{mono2grey}.
\end{funcdesc}
-\begin{funcdesc}{dither2mono}{image\, width\, height}
+\begin{funcdesc}{dither2mono}{image, width, height}
Convert an 8-bit greyscale image to a 1-bit monochrome image using a
(simple-minded) dithering algorithm.
\end{funcdesc}
-\begin{funcdesc}{mono2grey}{image\, width\, height\, p0\, p1}
+\begin{funcdesc}{mono2grey}{image, width, height, p0, p1}
Convert a 1-bit monochrome image to an 8 bit greyscale or color image.
All pixels that are zero-valued on input get value \var{p0} on output
and all one-value input pixels get value \var{p1} on output. To
@@ -62,26 +62,26 @@
values \code{0} and \code{255} respectively.
\end{funcdesc}
-\begin{funcdesc}{grey2grey4}{image\, width\, height}
+\begin{funcdesc}{grey2grey4}{image, width, height}
Convert an 8-bit greyscale image to a 4-bit greyscale image without
dithering.
\end{funcdesc}
-\begin{funcdesc}{grey2grey2}{image\, width\, height}
+\begin{funcdesc}{grey2grey2}{image, width, height}
Convert an 8-bit greyscale image to a 2-bit greyscale image without
dithering.
\end{funcdesc}
-\begin{funcdesc}{dither2grey2}{image\, width\, height}
+\begin{funcdesc}{dither2grey2}{image, width, height}
Convert an 8-bit greyscale image to a 2-bit greyscale image with
dithering. As for \code{dither2mono}, the dithering algorithm is
currently very simple.
\end{funcdesc}
-\begin{funcdesc}{grey42grey}{image\, width\, height}
+\begin{funcdesc}{grey42grey}{image, width, height}
Convert a 4-bit greyscale image to an 8-bit greyscale image.
\end{funcdesc}
-\begin{funcdesc}{grey22grey}{image\, width\, height}
+\begin{funcdesc}{grey22grey}{image, width, height}
Convert a 2-bit greyscale image to an 8-bit greyscale image.
\end{funcdesc}