计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
24期
183-186
,共4页
周杨%温兴平%张丽娟%王军
週楊%溫興平%張麗娟%王軍
주양%온흥평%장려연%왕군
图像去噪%调和模型%全变分模型%自适应去噪
圖像去譟%調和模型%全變分模型%自適應去譟
도상거조%조화모형%전변분모형%자괄응거조
image denoising%harmonic model%total variational model%adaptive denoising
为了有效抑制噪声,获得更好的视觉效果,提出了一种基于混合变分模型的图像去噪方法。将调和模型和全变分模型进行融合,增强模型的去噪性能,根据自适应选取组合系数,组合系数较大时偏向于全变分模型,较小时偏向于调和模型,这样不仅可以有效去除阶梯效应,同时保护边缘细节,采用仿真对比实验以测试模型性能。结果表明,相对其他去噪模型,相同条件下,该模型取得更优的去噪声效果,提高了图像的质量。
為瞭有效抑製譟聲,穫得更好的視覺效果,提齣瞭一種基于混閤變分模型的圖像去譟方法。將調和模型和全變分模型進行融閤,增彊模型的去譟性能,根據自適應選取組閤繫數,組閤繫數較大時偏嚮于全變分模型,較小時偏嚮于調和模型,這樣不僅可以有效去除階梯效應,同時保護邊緣細節,採用倣真對比實驗以測試模型性能。結果錶明,相對其他去譟模型,相同條件下,該模型取得更優的去譟聲效果,提高瞭圖像的質量。
위료유효억제조성,획득경호적시각효과,제출료일충기우혼합변분모형적도상거조방법。장조화모형화전변분모형진행융합,증강모형적거조성능,근거자괄응선취조합계수,조합계수교대시편향우전변분모형,교소시편향우조화모형,저양불부가이유효거제계제효응,동시보호변연세절,채용방진대비실험이측시모형성능。결과표명,상대기타거조모형,상동조건하,해모형취득경우적거조성효과,제고료도상적질량。
In order to restrain the noise and obtain better visual effect, a novel image denoising method is proposed based on hybrid variation model. The harmonic model and the total variation model are integrated to enhance the filtering perfor-mance, and then the parameters are adaptively selected. When combinatorial coefficient is large, hybrid model is close to total variation model, and when combinatorial coefficient is small, hybrid model is close to harmonic model to effectively remove the staircase effect to protect the edge detail. The simulation experiment is carried out to test performance of model. The results show that, compared with other denoising models, the proposed model has better denoising effect and can better protect edge information under the same conditions.