CAJ | 학술논문

传统的图像质量评价方法MSE和PSNR都是基于全参考(FR)的质量评价方法,这就要求在对图像进行质量评价时给出参考图像,因此这种方法在实际应用中并不实用,而无参考(NR)图像质量评价正好解决了这一问题,因此具有重要意义.针对数字图像的客观质量评价,从模糊距离检测角度,提出了一种结合边缘检测的图像模糊估计的无参考图像质量评价方法,对比现有模糊检测方法,此方法比单独的边缘检测方法和模糊估计方法更为有效.经过对结果的分析与比较,本文方法的检测结果与主观感知质量有很好的相关性,而且算法具有复杂性低、无需参考源、检测准确性高、可移植性强等特点,因此实用性比较强.
전통적도상질량평개방법MSE화PSNR도시기우전삼고(FR)적질량평개방법,저취요구재대도상진행질량평개시급출삼고도상,인차저충방법재실제응용중병불실용,이무삼고(NR)도상질량평개정호해결료저일문제,인차구유중요의의.침대수자도상적객관질량평개,종모호거리검측각도,제출료일충결합변연검측적도상모호고계적무삼고도상질량평개방법,대비현유모호검측방법,차방법비단독적변연검측방법화모호고계방법경위유효.경과대결과적분석여비교,본문방법적검측결과여주관감지질량유흔호적상관성,이차산법구유복잡성저、무수삼고원、검측준학성고、가이식성강등특점,인차실용성비교강.
Image quality evaluation of the traditional method MSE and PSNR are base on full reference ( FR) quality assessment. It requires a reference image, so it is not practical to be used. While the no reference( NR) just can deals with this problem, so it is of great significance. Aiming at the object digital image quality assessment, to the degree of detecting the distance of blur, this paper presents a no reference metric of blur estimation base on the edge detection. After the analysis and comparison of the result, of which the relevance to the subjective quality perception is better than some other blur estimation metric which only detects the edge or estimates the blur. What's more, since the low complexity of algorithm,the needless for source of reference, and the proposed metric can be practically used.