计算机与现代化
計算機與現代化
계산궤여현대화
COMPUTER AND MODERNIZATION
2015年
2期
67-72
,共6页
无参考图像质量评价%自然场景统计%兴趣区域%梯度密度
無參攷圖像質量評價%自然場景統計%興趣區域%梯度密度
무삼고도상질량평개%자연장경통계%흥취구역%제도밀도
no-reference image quality assessment%Natural Scene Statistics( NSS)%region of interest%gradient density
为了有效地度量不同失真类型的图像质量，提出一种基于自然场景统计（ NSS）模型的空域无参考图像质量评价算法。该算法利用自然图像归一化亮度系数的统计特征趋向于服从广义高斯概率分布的特性，首先在空域计算自然图像的梯度，通过梯度密度选取自然图像的兴趣区域，提取兴趣区域图像统计特征，建立多元高斯分布（ MVG）模型；然后对测试图像建立同样的MVG模型；最终通过计算测试图像和自然图像在统计规律上的偏差来对测试图像的质量做出评价。实验证明该算法与主观评价具有较好的一致性。
為瞭有效地度量不同失真類型的圖像質量，提齣一種基于自然場景統計（ NSS）模型的空域無參攷圖像質量評價算法。該算法利用自然圖像歸一化亮度繫數的統計特徵趨嚮于服從廣義高斯概率分佈的特性，首先在空域計算自然圖像的梯度，通過梯度密度選取自然圖像的興趣區域，提取興趣區域圖像統計特徵，建立多元高斯分佈（ MVG）模型；然後對測試圖像建立同樣的MVG模型；最終通過計算測試圖像和自然圖像在統計規律上的偏差來對測試圖像的質量做齣評價。實驗證明該算法與主觀評價具有較好的一緻性。
위료유효지도량불동실진류형적도상질량，제출일충기우자연장경통계（ NSS）모형적공역무삼고도상질량평개산법。해산법이용자연도상귀일화량도계수적통계특정추향우복종엄의고사개솔분포적특성，수선재공역계산자연도상적제도，통과제도밀도선취자연도상적흥취구역，제취흥취구역도상통계특정，건립다원고사분포（ MVG）모형；연후대측시도상건립동양적MVG모형；최종통과계산측시도상화자연도상재통계규률상적편차래대측시도상적질량주출평개。실험증명해산법여주관평개구유교호적일치성。
In order to measure the image quality of different distortion types, a spatial natural scene statistics ( NSS) based model of no reference image quality assessment method is proposed.The normalized brightness coefficients of natural images obey the generalized Gauss distribution and the proposed method uses these features.The proposed method can be described as follows. Firstly, the gradient values of natural images are computed in the spatial domain, the ROI ( regions of interest) of natural images are selected by gradient density, the statistical characteristics of natural images are extracted and the multivariate Gauss distribu-tion ( MVG) model is established.Secondly, the same MVG model of test images is established.At last, the quality of test ima-ges is evaluated by calculating the distance of the MVG model between test images and natural images.Experimental results show that the proposed method is more consistent with human subjective perception.
