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root/radiance/ray/doc/man/man1/ra_gif.1
Revision: 1.1
Committed: Tue Mar 11 19:20:21 2003 UTC (21 years, 7 months ago) by greg
Branch: MAIN
CVS Tags: rad3R5
Log Message:
Added documentation to repository

File Contents

# User Rev Content
1 greg 1.1 .\" RCSid "$Id"
2     .TH RA_GIF 1 6/10/94 RADIANCE
3     .SH NAME
4     ra_gif - convert RADIANCE picture to Compuserve GIF
5     .SH SYNOPSIS
6     .B ra_gif
7     [
8     .B \-b
9     ][
10     .B \-d
11     ][
12     .B "\-c ncolors"
13     ][
14     .B "\-g gamma"
15     ][
16     .B "\-e +/-stops"
17     ][
18     .B "-n sampfac"
19     ]
20     .B input
21     [
22     .B output
23     ]
24     .SH DESCRIPTION
25     .I Ra_gif
26     converts from RADIANCE to Compuserve GIF color-mapped,
27     compressed image files.
28     In the default mode, a RADIANCE picture is converted to a
29     color-mapped GIF file of the same horizontal and vertical dimensions with
30     8-bits per pixel.
31     The
32     .I \-b
33     option converts the image to black and white.
34     The
35     .I \-d
36     option turns off dithering.
37     The
38     .I \-c
39     option allows fewer than 256 colors (and fewer than 8 bits per
40     pixel).
41     The
42     .I \-g
43     option specifies the exponent used in gamma correction;
44     the default value is 2.2.
45     An exponent of 1.0 turns gamma correction off.
46     The
47     .I \-e
48     option specifies an exposure compensation in f-stops (powers of two).
49     Only integer stops are allowed, for efficiency.
50     The
51     .I \-n
52     option specifies a sampling factor for neural network color
53     quantization.
54     This value should be between 1 and 80, where 1 takes the longest and
55     produces the best results in small areas of the image.
56     If no value is given, a faster median cut algorithm is used.
57     If the output file is missing, the standard output is used.
58     .SH AUTHORS
59     Greg Ward
60     .br
61     Paul Haeberli
62     .br
63     David Rowley
64     .br
65     Anthony Dekker provided the code for neural network color quantization
66     .SH "SEE ALSO"
67     pfilt(1), ra_bn(1), ra_ppm(1), ra_pr(1), ra_pr24(1), ra_t8(1), ra_t16(1),
68     ra_tiff(1), ximage(1)