Abstract
Objective methods and metrics for assessing image quality are more convenient, less expensive and time-consuming than subjective methods. There are a number of reference objective metrics that provide a good correlation with perceived image quality, such as SSIM, MS-SSIM, CW-SSIM, IW-SSIM, but they are slow and have sufficient computational complexity. In this paper we proposed a simple modification for SSIM algorithms, in particular SSIM and MS-SSIM, which, for a small deterioration in quality of results, can significantly reduce the time of calculations.
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References
Ponomarenko, N.: Tampere image database 2008 TID2008, version 1.0, http://www.ponomarenko.info/tid2008.htm
Wang, Z., Bovik, A.C.: Modern image quality assessment, p. 157. Morgan & Claypool, NY (2006)
Wang, Z., Li, Q.: Information content weighting for perceptual image quality assessment. IEEE Transactions on Image Processing 20, 1185–1198 (2011)
Wang, Z., Simoncelli, E.P., Bovik, A.C.: Multi-scale structural similarity for image quality assessment. IEEE Asilomar Conf. on Signal, Systems and Computers, Pacific Grove, California (2003)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing 13, 600–612 (2004)
Wang, Z., Simoncelli, E.P.: Translation insensitive image similarity in complex wavelet domain. In: IEEE Inter. Conf. Acoustic, Speech and Signal Processing, Philadelphia, vol. 2, pp. 673–676 (2005)
MSU Video Quality Measurement Tool, http://compression.ru/video/quality_measure/video_measurement_tool_en.html
Vatolin, D., Ratushnyak, A., Smirnov, M., Yukin, V.: Everything about the data compression, http://www.compression.ru/index_en.htm
Sidorov, D.: Image quality metrics, http://imq.vt.tpu.ru/indexeng.html
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Osokin, A., Sidorov, D. (2014). Modification of SSIM Metrics. In: Dudin, A., Nazarov, A., Yakupov, R., Gortsev, A. (eds) Information Technologies and Mathematical Modelling. ITMM 2014. Communications in Computer and Information Science, vol 487. Springer, Cham. https://doi.org/10.1007/978-3-319-13671-4_40
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DOI: https://doi.org/10.1007/978-3-319-13671-4_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13670-7
Online ISBN: 978-3-319-13671-4
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