Research on On-board Reconnaissance Images Quality Assessment

doi:10.3969/j.issn.1000-1093.2017.01.009

Abstract

Abstract: Many types of hybrid distortion of on-board reconnaissance images happen due to the imaging platform and constraints. The image quality assessment is carried out in order to provide an important quantitative basis and reference for the performance optimization of the image processing and imaging systems. The characteristics of on-board reconnaissance image are analyzed. In consideration of mutli-degree-of-freedom and multi-attitude change of imaging platform, 11 kinds of image features related to camera shake, structure change and color loss are extracted. The sub-block image features are extracted for multivariate Gaussian (MVG) fitting to obtion benchmark distribution characteristics by using high resolution mapping images as original image set, and the on-board reconnaissance images are also processed to obtain corresponding MVG distribution characteristics. The benchmark distribution characteristics are compared to the MVG distribution characteristics, and Mahalanobis distance is calculated as a score of block quality. The mean score of each sub-block is taken as final score of whole image. The images obtained by the actual on-board imaging platform are verified. The result shows that the proposed method has higher assessment accuracy. Key

Key words: ordnancescienceandtechnology, imagequalityassessment, on-boardimage, naturalscenestatistics, imagefeature

CLC Number:

TP391.413

LI Cong-li， XUE Song， LU Wen-jun， YUAN Guang-lin， QIN Xiao-yan. Research on On-board Reconnaissance Images Quality Assessment[J]. Acta Armamentarii, 2017, 38(1): 64-72.

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第38卷
第1期2017 年1月兵工学报ACTA
ARMAMENTARIIVol.38No.1Jan.2017

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