视觉结构相似度地震图像质量评价模型研究

Visual structure similarity seismic image quality evaluation models

地震图像质量的评价通常采用定性与定量评价标准来衡量。文中提出了一种新的地震数据处理量化评价模型——基于全参考型视觉结构相似度(Seismic Data Structural Similarity,SDSS)的地震图像质量模型,通过计算资料处理前、后图像之间的能量强度测度、对比度测度与反射结构相似度测度,对图像的质量进行综合评价,用量化指标体现处理前、后图像的变化趋势。算法的数值模拟和实际资料结果表明,该方法与传统的评价方法相比,易于理解且计算简单,能凸显地震资料变化的差异,极大地提高了地震图像客观评价结果与人为主观感知的一致性。

Current seismic image quality evaluation includes qualitative and quantitative evaluation standards.The paper presents a visual structural similarity seismic image quality evaluation model (seismic data structural similarity,SDSS for short).First energy measure,contrast measure,and reflection structure similarity measure of images are calculated before and after data processing,and then these measures are analyzed to evaluate change trend of seismic image.Numerical simulation and real data results show that the proposed method is simple and easy to be understood,highlights the changes of seismic image,and improves greatly the consistency between objective evaluation and human subjective perception of seismic images. © 2017, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.