Human vision system-based structural similarity model for evaluating seismic image quality

摘要

The quality of a seismic section is generally evaluated based on relevant qualitative and quantitative criteria. We have developed a new quantitative model to evaluate seismic sections, i.e., a full-reference human visual system based on seismic image structural similarity. With this model, we compared and analyzed two seismic sections before and after data processing in terms of energy intensity, contrast, and seismic reflection configuration similarity measures. We evaluated the quality of the seismic section in combination with the three measures, and their changing trends before and after data processing are represented with relevant quantitative indicators. The numerical simulation used algorithms and actual data, and the results indicate that compared with conventional evaluation methods, our method is easier to understand and simpler to calculate. Our method can also highlight the differences between changing seismic sections and improve the consistency of the objective evaluation results of seismic images with the corresponding human subjective perception.