This program is to do a Noise Reductin Algorithm2005 a Korean in the year ieee published PaperBlock-based noise estimation using adaptive Gaussian filtering of this thesis is also included in the folder for reference. First of all, click open file, select first the original plan (not noise pollution) Next select the second graph (with noise) you can watch the results of Click Noise Reduction can also adjust next threshold, watch different under the threshold to remove noise effects. This program using statistical theory, to remove noise in the process of successfully retained the edge features, to make images look more three-dimensional and clear.

Packet : 69491702noisereduction_v1.rar filelist
NoiseReduction_v1\a.bmp
NoiseReduction_v1\b.bmp
NoiseReduction_v1\NoiseReduction_v1.exe
NoiseReduction_v1\Project1.bpr
NoiseReduction_v1\Project1.cpp
NoiseReduction_v1\Project1.res
NoiseReduction_v1\Readme.txt
NoiseReduction_v1\simulation.jpg
NoiseReduction_v1\TestData\lena.bmp
NoiseReduction_v1\TestData\lena_30.bmp
NoiseReduction_v1\TestData\lena_40.bmp
NoiseReduction_v1\TestData\lena_60.bmp
NoiseReduction_v1\TestData\Thumbs.db
NoiseReduction_v1\Thumbs.db
NoiseReduction_v1\Unit1.cpp
NoiseReduction_v1\Unit1.ddp
NoiseReduction_v1\Unit1.dfm
NoiseReduction_v1\Unit1.h
NoiseReduction_v1\Unit3.cpp
NoiseReduction_v1\Unit3.dfm
NoiseReduction_v1\Unit3.h
NoiseReduction_v1\[2005-1]Block-based noise estimation using adaptive Gaussian filtering.pdf
NoiseReduction_v1\TestData
NoiseReduction_v1

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