基于无参考结构清晰度的数字全息图像质量评价方法
首发时间:2016-04-27
摘要:分析了图像模糊的原因,在对全息图像进行梯度变换的基础上,计算其结构相似度(SSIM),用以评估全息图像的模糊失真程度,是一种基于结构清晰度的无参考质量评价方法。该方法通过低通滤波来构造参考图像,通过计算原始图像与参考图像之间梯度信息的结构相似度来评估全息图像的质量,具有结构相似度的评价方法的优点,即符合人眼视觉特性,同时又规避其对图像的模糊失真不敏感的缺点。实验结果表明,该方法是一种客观、有效的图像质量评价方法。
关键词: 全息图像质量评价 结构相似度 无参考结构清晰度 人眼视觉特性
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No-Reference Structure Sharpness Image Quality Assessment Method for Digital Lensless Holographic Image
Abstract:With the analysis of image blur,the Structural Similarity (SSIM) was calculated to evaluate the degree of image blur on the basis of the gradient transformation of lensless holographic image,which was a kind of No-Reference quality evaluation method based on the Structure Sharpness.The method constructed a reference image by a low-pass filter,and assessed the holographic image quality by computing the SSIM of gradient between the original image and the reference one,had the advantage of structural similarity that was consistent with human visual system,while avoiding its shortcoming that was not sensitive to image blur.The experimental results show that it is an objective and effective method for quality assessment.
Keywords: Lensless Holographic Image Quality Assessment Structural Similarity No-Reference Structure Sharpness Human Visual System
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