文件名称:NoiseReduction_v1
介绍说明--下载内容均来自于网络,请自行研究使用
本程式实做了Noise Reductin Algorithm
2005年一个韩国人在ieee发表的Paper
Block-based noise estimation using adaptive Gaussian filtering
此论文也收录在资料夹中,供使用者参考。
首先,click open file,
选择第一张原始图(未被杂讯污染)
接下来选择第二张图(有杂讯)
你可以直接点选Noise Reduction观看结果
也可以先调整旁边的threshold,观看不同threshold下去除杂讯的效果。
本程式利用统计理论,在去除杂讯的过程,成功保留了边缘特征,
使影像看起来较为立体、清晰。-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.
2005年一个韩国人在ieee发表的Paper
Block-based noise estimation using adaptive Gaussian filtering
此论文也收录在资料夹中,供使用者参考。
首先,click open file,
选择第一张原始图(未被杂讯污染)
接下来选择第二张图(有杂讯)
你可以直接点选Noise Reduction观看结果
也可以先调整旁边的threshold,观看不同threshold下去除杂讯的效果。
本程式利用统计理论,在去除杂讯的过程,成功保留了边缘特征,
使影像看起来较为立体、清晰。-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.
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下载文件列表
NoiseReduction_v1
.................\NoiseReduction_v1.exe
.................\Project1.bpr
.................\Project1.cpp
.................\Project1.res
.................\Readme.txt
.................\TestData
.................\Unit1.cpp
.................\Unit1.ddp
.................\Unit1.dfm
.................\Unit1.h
.................\Unit3.cpp
.................\Unit3.dfm
.................\Unit3.h
.................\[2005-1]Block-based noise estimation using adaptive Gaussian filtering.pdf
.................\NoiseReduction_v1.exe
.................\Project1.bpr
.................\Project1.cpp
.................\Project1.res
.................\Readme.txt
.................\TestData
.................\Unit1.cpp
.................\Unit1.ddp
.................\Unit1.dfm
.................\Unit1.h
.................\Unit3.cpp
.................\Unit3.dfm
.................\Unit3.h
.................\[2005-1]Block-based noise estimation using adaptive Gaussian filtering.pdf