电子测试
電子測試
전자측시
ELECTRONIC TEST
2014年
16期
22-24
,共3页
偏微分方程%图像修补%BSCB模型%应用
偏微分方程%圖像脩補%BSCB模型%應用
편미분방정%도상수보%BSCB모형%응용
Partial differential equation%Image inpainting%BSCB model%Application
本文在Matlab7.0的环境下,利用相关随机初始化方案与BSCB模型的结合,修补小尺度污损图像,并且指出了该方案修补人工与自然图像的效果。针对同一幅污损图像,通过三种初始化方案组合BSCB模型对其进行修补,按照修补结果对相关随机初始化方案对修补效果与效率进行改善方面产生的优势进行论证。
本文在Matlab7.0的環境下,利用相關隨機初始化方案與BSCB模型的結閤,脩補小呎度汙損圖像,併且指齣瞭該方案脩補人工與自然圖像的效果。針對同一幅汙損圖像,通過三種初始化方案組閤BSCB模型對其進行脩補,按照脩補結果對相關隨機初始化方案對脩補效果與效率進行改善方麵產生的優勢進行論證。
본문재Matlab7.0적배경하,이용상관수궤초시화방안여BSCB모형적결합,수보소척도오손도상,병차지출료해방안수보인공여자연도상적효과。침대동일폭오손도상,통과삼충초시화방안조합BSCB모형대기진행수보,안조수보결과대상관수궤초시화방안대수보효과여효솔진행개선방면산생적우세진행론증。
In this paper,in Matlab7.0 environment,using a combination of correlated random initialization scheme with BSCB model,the repair of small scale defaced image,and pointed out that the scheme of repair of artificial and natural image effect.In accordance with an defaced image,through its three initialization scheme combined BSCB model repair,in accordance with the repair results on related random initialization schemes on the repair effect and efficiency of improving the advantage.