Tang Yiming, Yang Xuezhi. Image quality assessment of SAR image despeckling for measuring structure-preserving capability[J]. Journal of Image and Graphics, 2013, 18(7): 866-875. DOI: 10.11834/jig.20130719.
为此提出无参考的IENLR (improved equivalent number of looks of ratio image)评价方法。首先总结了已有的相关图像质量评价方法
分析其在衡量结构保持性能方面的局限性。随后
从比值图像的等效视数(ENLR)图像出发
构造了新评价方法IENLR的计算公式
并通过理论分析证明其为关于结构保持性能的基本单调、有界的函数
且具有参数的可调节性。最后
通过仿真实验进一步验证了IENLR的良好性能
并且发现IENLR在衡量结构保持性能方面优于现有的相关质量评价方法。
Abstract
Currently
related image quality assessment methods can not appropriately measure structure-preserving capability of synthetic aperture radar (SAR) image despeckling
to solve this problem a no-reference improved equivalent number of looks of ratio image(IENLR) assessment method is put forward. To begin with
related image quality assessment methods are reviewed
where their weaknesses to measure structure-preserving capability are investigated. Furthermore
from equivalent number of looks of ratio(ENLR) image as a point of departure
the computing formula of IENLR is constructed
meanwhile theory analyses prove that IENLR is a basically monotone
bounded function with regard to structure-preserving capability
and that IENLR is adjustable in the light of its parameter. Finally
simulated experiments further verify that IENLR is excellent and superior to other related image quality assessment methods from the viewpoint of measuring structure-preserving capability.