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2D Fast Wavelet Transform Library for Image Processing

, 19 Oct 2007 GPL3 148.4K 10.3K 89
This article demonstrates the use of 2D Fast wavelet transform for image processing
fwt2d_demo.zip
bin
filters
bior13.flt
bior15.flt
bior22.flt
bior24.flt
bior26.flt
bior28.flt
bior46.flt
bior48.flt
bior53.flt
bior97.flt
coif1.flt
coif2.flt
coif3.flt
coif4.flt
coif5.flt
daub1.flt
daub10.flt
daub2.flt
daub3.flt
daub4.flt
daub5.flt
daub6.flt
daub7.flt
daub8.flt
daub9.flt
inter1.flt
inter2.flt
inter3.flt
splines
bior31.flt
bior33.flt
bior35.flt
bior37.flt
bior39.flt
fwt2d.exe
fwt2d_src.zip
src
filters
bior13.flt
bior15.flt
bior22.flt
bior24.flt
bior26.flt
bior28.flt
bior46.flt
bior48.flt
bior53.flt
bior97.flt
coif1.flt
coif2.flt
coif3.flt
coif4.flt
coif5.flt
daub1.flt
daub10.flt
daub2.flt
daub3.flt
daub4.flt
daub5.flt
daub6.flt
daub7.flt
daub8.flt
daub9.flt
inter1.flt
inter2.flt
inter3.flt
splines
bior31.flt
bior33.flt
bior35.flt
bior37.flt
bior39.flt
Lib
mainicon.ico

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License

This article, along with any associated source code and files, is licensed under The GNU General Public License (GPLv3)

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About the Author

Chesnokov Yuriy
Engineer
Russian Federation Russian Federation
Highly skilled Engineer with 14 years of experience in academia, R&D and commercial product development supporting full software life-cycle from idea to implementation and further support. During my academic career I was able to succeed in MIT Computers in Cardiology 2006 international challenge, as a R&D and SW engineer gain CodeProject MVP, find algorithmic solutions to quickly resolve tough customer problems to pass product requirements in tight deadlines. My key areas of expertise involve Object-Oriented
Analysis and Design OOAD, OOP, machine learning, natural language processing, face recognition, computer vision and image processing, wavelet analysis, digital signal processing in cardiology.

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