基于图像质量评价的航测影像成图质量的研究
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摘要
为了解决航测影像因航拍过程中图像模糊、重影或曝光不正常以及重叠度过高等严重影响图像的拼接效率和拼接质量的问题。首先统计出原始航拍影像的重叠度,确定影像的冗余量。其次采用BRISQUE无参考图像质量评价算法对航拍影像在固定冗余间隔内进行降冗处理,剔除质量较差的影像,保留质量较好的影像采用PIX4D软件进行拼接实验。通过对原始影像和质量评价降冗后的影像进行实验分析,实验得出基于BRISQUE质量评价降冗后较原始影像拼接生成的正射影像质量好,而且拼接效率提高37.63%。
Absrtact:In order to solve the problems of image blur, abnormal double image or exposure and high overlap in aerial photography, the efficiency and quality of image stitching are seriously affected. Firstly, the overlap degree of the original aerial image is calculated and the redundancy of the image is determined. Secondly, the BRISQUE no-reference image quality evaluation algorithm is used to reduce the redundancy of aerial images within the fixed redundancy interval, and the images with poor quality are eliminated, and the images with good quality are spliced by PIX4 D software. Through the experimental analysis of the original image and the image with reduced redundancy in quality evaluation, the quality of the original image is obtained based on BRISQUE. The quality of orthophoto image after reducing redundancy is better than that of original image stitching, and the efficiency of stitching is improved 37.63%.
Absrtact:In order to solve the problems of image blur, abnormal double image or exposure and high overlap in aerial photography, the efficiency and quality of image stitching are seriously affected. Firstly, the overlap degree of the original aerial image is calculated and the redundancy of the image is determined. Secondly, the BRISQUE no-reference image quality evaluation algorithm is used to reduce the redundancy of aerial images within the fixed redundancy interval, and the images with poor quality are eliminated, and the images with good quality are spliced by PIX4 D software. Through the experimental analysis of the original image and the image with reduced redundancy in quality evaluation, the quality of the original image is obtained based on BRISQUE. The quality of orthophoto image after reducing redundancy is better than that of original image stitching, and the efficiency of stitching is improved 37.63%.
引文
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[5] 张淑芳,张聪,张涛,等.通用型无参考图像质量评价算法综述[J].计算机工程与应用,2015,51(19):13-23.
[6] 严浩.小波域无参考图像质量评价方法研究[D].南昌:华东交通大学,2015.
[7] 叶崧,杨万扣.改进的基于大气光幕单幅图像去雾算法[J].电子测量技术,2016,39(3):50-55.
[8] YADAV A,SOHONI S,CHANDLER D.GPGPU based implementation of a high performing No Reference (NR)-IQA algorithm,BLIINDS-II[J].Electronic Imaging,2017,2017(12):21-25.
[9] 桑庆兵.半参考和无参考图像质量评价新方法研究[D].无锡:江南大学,2013.
[10] 王保云.图像质量客观评价技术研究[D].合肥:中国科学技术大学,2010.
[11] 王俊平,李超,陈伟华.基于图像非平坦区域DCT特性和EGRNN的盲图像质量评价[J].计算机学报,2017,40(11):2492-2505.
[12] 刘国军,高丽霞,陈丽奇.广义平均的全参考型图像质量评价池化策略[J].光学精密工程,2017,25(3):742-748.
[13] 王蔓,颜佳,吴敏渊.基于视觉相似性的去色图像质量评估[J].计算机应用,2017,37(10):2926-2931.
[14] FENG X J,ALLEBACH J P.Measurement of ringing artifacts in JPEG images[C].Proc of SPIE,2006.
[15] 康良成.基于数字水印的图像质量评价方法研究[D].无锡:江南大学,2015.
[16] 姜林美.JPEG图像的无参考质量评价方法研究[D].上海:上海师范大学,2007.
[17] 金波,李朝锋,吴小俊.结合NSS和小波变换的无参考图像质量评价[J].中国图象图形学报,2012,17(1):36-42.