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📄 system.fiascorc

📁 linux下将各类格式图片转换工具
💻 FIASCORC
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##  system.wfarc:	Resource file WFA coder# #  Written by:		Ullrich Hafner#		#  This file is part of FIASCO (獸籸actal 獻籱age 獳籲d 玈籩quence 獵O籨ec)#  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 imagesbasis-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 = 40chroma-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 writtenverbose = 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 bordertiling-exponent = 4tiling-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    = 3rpf-range       = 1.5dc-rpf-mantissa = 5dc-rpf-range    = 1# Search for prediction (coarse approximation or motion compensation)# on all levels between minlevel and maxlevelmin-level = 6max-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            = 25half-pixel     = NOcross-B-search = NOB-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  = NOreduced = NOpanel   = NOenlarge = 0

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