文件名称:wavelet-application-
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小波分析是目前国际上最新的时频分析工具,在图像处理方面有着广泛地
应用。分形概念的出现为人们认识事物的局部与整体的关系提供了一种辨证的
思维方式,分形维是其主要的定量特征。小波分析是采用局部对整体依赖性的
系统方法,而分形则研究局部信号以确定信号的整体特性-Wavelet
analysis
is
internationallyrecognizedup
totheminutetoolfor
allalyzing
time-frequency,And
it was
widely
used in
image
and
signal。Theappearance
of
fractal
provides
anew
perspective
for
integrated
andlocal
relationship
of
things,and
fractaidimensionis themaincharacteristicsofit。wavelethas
predestinedrelationship
、访mfractai after the
apperance
ofthem,wavelet is
studymg
on the mthodof local’S
dependence
onwhole,andfractal is
studying
onthe local
si簪,ai
to determinate the
whole feature of
signal,they
botheoncernon
the local details of
objects。In
this
paper,wemainly
discuss the
application
in
imageprocessing
basedonthewavelet
andfractal。Thefundamentaltheoriesofwaveletandfractalalediscussedindetail,
Thefast
algorithm
ofdiscrete
dyadic
wavelettransformandthecalculationoffractal
parametem
are
given
应用。分形概念的出现为人们认识事物的局部与整体的关系提供了一种辨证的
思维方式,分形维是其主要的定量特征。小波分析是采用局部对整体依赖性的
系统方法,而分形则研究局部信号以确定信号的整体特性-Wavelet
analysis
is
internationallyrecognizedup
totheminutetoolfor
allalyzing
time-frequency,And
it was
widely
used in
image
and
signal。Theappearance
of
fractal
provides
anew
perspective
for
integrated
andlocal
relationship
of
things,and
fractaidimensionis themaincharacteristicsofit。wavelethas
predestinedrelationship
、访mfractai after the
apperance
ofthem,wavelet is
studymg
on the mthodof local’S
dependence
onwhole,andfractal is
studying
onthe local
si簪,ai
to determinate the
whole feature of
signal,they
botheoncernon
the local details of
objects。In
this
paper,wemainly
discuss the
application
in
imageprocessing
basedonthewavelet
andfractal。Thefundamentaltheoriesofwaveletandfractalalediscussedindetail,
Thefast
algorithm
ofdiscrete
dyadic
wavelettransformandthecalculationoffractal
parametem
are
given
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基于小波分形的图像处理算法研究及应用.pdf