about summary refs log tree commit diff
path: root/converter/other/fiasco/system.fiascorc
blob: 86ff2da2b171ccf4768d9c9fa8de3dc02f3d2e4f (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
#
#  system.wfarc:	Resource file WFA coder
# 
#  Written by:		Ullrich Hafner
#		
#  This file is part of FIASCO («F»ractal «I»mage «A»nd «S»equence «CO»dec)
#  Copyright (C) 1994-2000 Ullrich Hafner <hafner@bigfoot.de>

#
#  $Date: 2000/06/25 16:38:01 $
#  $Author: hafner $
#  $Revision: 5.2 $
#  $State: Exp $

#
# Options for FIASCO coder `cfiasco':
#

# Initial basis to start with
# small.fco:  domains 1, x, y
# medium.fco: domains 1, x, y and 129 additional images
# large.fco: domains 1, x, y and 226 additional images
basis-name = small.fco

# Limit the number of elements in the dictionary by `dictionary-size' 
# The smaller the value is the faster the coder runs and the worse
# the image quality will be.  
dictionary-size = 10000

# Optimization level
#  0: standard approximation method, process blocks of level [6, 10],
#     use up to 3 dictionary vectors
#  1: standard approximation method, process blocks of level [4, 12],
#     use up to 5 dictionary vectors
#  2: significantly increases the approximation quality,
#     running time is twice as high as with the standard method
#  3: hardly increases the approximation quality of method 2, 
#     running time is twice as high as with method 21
#     (this method just remains for completeness)
optimize = 0

# Approximation quality (typical range = [1-100]) 
quality = 20.0                    

# For compression of chroma bands the dictionary can be reduced to
# the best #`chroma-dictionary' elements.
# Furthermore, the quality of the approximation is decreased
# 'chroma-qfactor' times.
chroma-dictionary = 40
chroma-qfactor    = 2

# Verbosity level
# 0 no debug output
# 1 some verbosity and statistics of the output size
# 2 lots of debug information and log-files are written
verbose = 1

# Set exponent and method of image tiling
# 0   image is processed in normal bintree order
# >0  image is subdivided into 2^`tiling-exponent' tiles. 
# Set type of image tiling
# asc-variance  Tiles with large variances are processed first
# desc-variance Tiles with small variances are processed first
# asc-spiral    Tiles are process in spiral order starting in the middle
# desc-spiral   Tiles are process in spiral order starting at the border
tiling-exponent = 4
tiling-method   = desc-variance

# Quantization parameters define the accuracy of coefficients quantization.
# DC coefficients (of the constant dictionary vector f(x,y) = 1) are quantized
# to values of the interval [-`dc-rpf-range', `dc-rpf-range'] using
# #`dc-rpf-mantissa' bits. All other quantized coefficients are quantized in
# an analogous way using the parameters `rpf-range' and `rpf-mantissa'.
rpf-mantissa    = 3
rpf-range       = 1.5
dc-rpf-mantissa = 5
dc-rpf-range    = 1

# Search for prediction (coarse approximation or motion compensation)
# on all levels between minlevel and maxlevel
min-level = 6
max-level = 10

# Set various parameters used for video compensation.
# 'fps' defines the frame rate which should be
# used when the video is decoded. This value has no effect during coding,
# it is just passed to the FIASCO output file.
# If 'half-pixel' is set then half pixel precise
# motion compensated prediction is used.
# If 'cross-B-search' is set then the fast Cross-B-Search algorithm is
# used to determine the motion vectors of interpolated prediction. Otherwise
# exhaustive search (in the given search range) is used.
# If 'B-as-past-ref' is set then B frames are allowed to be used
# for B frame predicion.
fps            = 25
half-pixel     = NO
cross-B-search = NO
B-as-past-ref  = NO

# Set `pattern' of input frames.
# `pattern' has to be a sequence of the following
# characters (case insensitive):
# 'i' intra frame
# 'p' predicted frame
# 'b' bidirectional predicted frame
# E.g. pattern = 'IBBPBBPBB'
#
# When coding video frames the prediction type of input frame N is determined
# by reading `pattern' [N] (`pattern' is periodically extended).

pattern = ippppppppp

#
# Options for FIASCO decoder `dfiasco':
#

double  = NO
reduced = NO
panel   = NO
enlarge = 0