Joint inversion is one of the most effective methods for reducing non-uniqueness for geophysical inversion.The current joint inversion methods can be divided into the structural consistency constraint and petrophysica...Joint inversion is one of the most effective methods for reducing non-uniqueness for geophysical inversion.The current joint inversion methods can be divided into the structural consistency constraint and petrophysical consistency constraint methods,which are mutually independent.Currently,there is a need for joint inversion methods that can comprehensively consider the structural consistency constraints and petrophysical consistency constraints.This paper develops the structural similarity index(SSIM)as a new structural and petrophysical consistency constraint for the joint inversion of gravity and vertical gradient data.The SSIM constraint is in the form of a fraction,which may have analytical singularities.Therefore,converting the fractional form to the subtractive form can solve the problem of analytic singularity and finally form a modified structural consistency index of the joint inversion,which enhances the stability of the SSIM constraint applied to the joint inversion.Compared to the reconstructed results from the cross-gradient inversion,the proposed method presents good performance and stability.The SSIM algorithm is a new joint inversion method for petrophysical and structural constraints.It can promote the consistency of the recovered models from the distribution and the structure of the physical property values.Then,applications to synthetic data illustrate that the algorithm proposed in this paper can well process the synthetic data and acquire good reconstructed results.展开更多
为了降低有机发光器件(OLED)的功耗,同时又保证显示图像的质量,提出一种基于色调、饱和度和亮度(HSV,hue,saturation and value)色彩空间的OLED低功耗方法。通过整合亮度调节(VS)和饱和度调节(SS)降低显示图像的功耗,应用感兴趣区域(ROI...为了降低有机发光器件(OLED)的功耗,同时又保证显示图像的质量,提出一种基于色调、饱和度和亮度(HSV,hue,saturation and value)色彩空间的OLED低功耗方法。通过整合亮度调节(VS)和饱和度调节(SS)降低显示图像的功耗,应用感兴趣区域(ROI,region of interest)到图像边界逐级调节技术提升图像质量,采用平均结构相似度指数(MSSIM,mean structural similarity index)对原始输入图像和输出图像在亮度、对比度和结构相似性上进行比较以评价图像相似程度,达到保持较高图像质量的同时降低功耗的目的。实验结果表明,图像渐变级数level为15时,本文提出的亮度与饱和度整合调节(VSI)方法在保持图像的ROI具有80.31%的相似度的同时节省了57.93%的OLED功耗。展开更多
基金supported by the National Key Research and Development Program(Grant No.2021YFA0716100)the National Key Research and Development Program of China Project(Grant No.2018YFC0603502)+1 种基金the Henan Youth Science Fund Program(Grant No.212300410105)the provincial key R&D and promotion special project of Henan Province(Grant No.222102320279).
文摘Joint inversion is one of the most effective methods for reducing non-uniqueness for geophysical inversion.The current joint inversion methods can be divided into the structural consistency constraint and petrophysical consistency constraint methods,which are mutually independent.Currently,there is a need for joint inversion methods that can comprehensively consider the structural consistency constraints and petrophysical consistency constraints.This paper develops the structural similarity index(SSIM)as a new structural and petrophysical consistency constraint for the joint inversion of gravity and vertical gradient data.The SSIM constraint is in the form of a fraction,which may have analytical singularities.Therefore,converting the fractional form to the subtractive form can solve the problem of analytic singularity and finally form a modified structural consistency index of the joint inversion,which enhances the stability of the SSIM constraint applied to the joint inversion.Compared to the reconstructed results from the cross-gradient inversion,the proposed method presents good performance and stability.The SSIM algorithm is a new joint inversion method for petrophysical and structural constraints.It can promote the consistency of the recovered models from the distribution and the structure of the physical property values.Then,applications to synthetic data illustrate that the algorithm proposed in this paper can well process the synthetic data and acquire good reconstructed results.
文摘为了降低有机发光器件(OLED)的功耗,同时又保证显示图像的质量,提出一种基于色调、饱和度和亮度(HSV,hue,saturation and value)色彩空间的OLED低功耗方法。通过整合亮度调节(VS)和饱和度调节(SS)降低显示图像的功耗,应用感兴趣区域(ROI,region of interest)到图像边界逐级调节技术提升图像质量,采用平均结构相似度指数(MSSIM,mean structural similarity index)对原始输入图像和输出图像在亮度、对比度和结构相似性上进行比较以评价图像相似程度,达到保持较高图像质量的同时降低功耗的目的。实验结果表明,图像渐变级数level为15时,本文提出的亮度与饱和度整合调节(VSI)方法在保持图像的ROI具有80.31%的相似度的同时节省了57.93%的OLED功耗。
