This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Z. Wang, “Applications of objective image quality assessment methods,” IEEE Signal Processing Magazine, vol.28, no.6, pp.137-142, Nov. 2011.10.1109/MSP.2011.942295Search in Google Scholar
Y. Q. WANG, “Application of local variance in image quality assessment,” Chinese Optics, vol.4, no.5, pp.531-535, May. 2011.Search in Google Scholar
J. Galbally, S. Marcel and J. Fierrez, “Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint and Face Recognition,” IEEE Transactions on Image Processing, vol.23, no.2, pp.710-724, Feb. 2014.10.1109/TIP.2013.229233226270913Search in Google Scholar
Qiuchan Bai and Chunxia Jin, Image Fusion and Recognition Based on Compressed Sensing Theroy, International Journal on Smart Sensing and Intelligent Systems, vol. 8, no. 1, pp. 159 – 180, Mar. 2015.10.21307/ijssis-2017-753Search in Google Scholar
Liu Erlin, Wang Meng, Teng Jianfeng, and Li Jianjian, Automatic Segmentation of Brain Tumor Magnetic Resonance Imaging Based on Multi-constrains and Dynamic Prior, International Journal on Smart Sensing and Intelligent Systems, vol. 8, no. 2, pp.1031-1049, Jun. 2015.Search in Google Scholar
A. M. Eskicioglu, P. S. Fisher, Image quality measures and their performance, IEEE Transactions on Communications, vol.43, no.12, pp.2959–2965, Dec. 1995.Search in Google Scholar
Z. Wang, A. C. Bovik, H. R. Sheikh, et al., “Image Quality Assessment: From Error Visibility to Structural Similarity,” IEEE Transactions on Image Processing, vo.13, no.4, pp.600-612, Apr. 2004.10.1109/TIP.2003.819861Search in Google Scholar
Z. Wang, A. C. Bovik, “Modern Image Quality Assessment,” Morgan and Claypool Publishing Co. New York, 2006, pp.11-13.10.1007/978-3-031-02238-8Search in Google Scholar
J. C. Zhou, R. W. Dai, X. B. Hua, “Overview of Image Quality Assessment Research,” Computer Science, vol.35, no.7, pp.1-4, Jul. 2008Search in Google Scholar
S. Q. Liu, L. F. Wu, Y. L. Gong, et al., “Overview of image quality assessment”, SCIENCEPAPER ONLINE, vol.6, no.7, pp.501-506, Jul. 2011Search in Google Scholar
W. J. Zhou, G. Y. Jiang, M. Yua, et al., “Reduced reference stereoscopic image quality assessment using digital watermarking,” Computers & Electrical Engineering, vol.40, no.8, pp.104–116, Nov. 201410.1016/j.compeleceng.2014.06.007Search in Google Scholar
S. D. Chen, “A Statistical Evaluation of Image Quality Analyzer for Assessment of Histogram Equalization-based Contrast Enhancement Methods,” Journal of Applied Sciences, vol.14, pp.18 -25, Jan, 2014.10.3923/jas.2014.18.25Search in Google Scholar
J. H. Deng, M. Qian, G. Q. Qiao, et al., “Analysis of Image Quality Assessment with Markov Random Field Oriented on Low Dose CT Images,” Sensors & Transducers, vol.169, no.4, pp.193-198, Apr. 2014Search in Google Scholar
Anu, Komal, Shipra Khurana, Amit Kumar, “Comparative Analy-sis of Image Quality Assessment Using HVS Model,” International Journal of Innovative Research in Computer and Communication Engineering, vol.2, no.7, pp.5033-5038, Jul. 2014Search in Google Scholar
Figueras i Ventura, R.M., Vandergheynst, P., Frossard, P., “Low-rate and flexible image coding with redundant representations,” IEEE Transactions Image Processing, vol.15, no.3, pp.726-739, Mar. 2006.10.1109/TIP.2005.860596Search in Google Scholar
D. Xu, M. D. Adams, “Design of High-Performance Filter Banks for Image Coding,” IEEE International Symposium on Signal Processing and Information Technology, Vancouver, 2006, pp.868-873.10.1109/ISSPIT.2006.270920Search in Google Scholar
Y. Liang and S. E. Budge, “Classified vector SPIHT for wavelet image coding,” in Proc. IEEE Int. Conf. Image Processing (ICIP). IEEE, Oct. 2006, pp. 1865–1868.10.1109/ICIP.2006.313099Search in Google Scholar
Y. D. Wu, H. Y. Zhang, R. Duan, “Total variation based perceptual image quality assessment modeling,” Journal of Applied Mathematics, Journal of Applied Mathematics, Volume 2014 (2014), Article ID 294870, [Online] Available From: http://dx.doi.org/10.1155/2014/29487010.1155/2014/294870Search in Google Scholar
Yongqing Wang and Chunxiang Wang, Computer Vision-based Color Image Segmentation with Improved Kernel Clustering, International Journal on Smart Sensing and Intelligent Systems, vol. 8, no. 3, pp. 1706 – 1729, Sep. 201510.21307/ijssis-2017-826Search in Google Scholar
M. Takezawa,, M. Haseyama, H. Kitajima, “Ultra low bit-rate image coding algorithm based on fractal image coding,” in Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis(ISPA), IEEE, Sept. 2003, vol.2, pp.1013-1017.Search in Google Scholar
W. Yang, L. H. Wu, S. Y. Li, Y. Fan, “Method of image quality assessment based on region of interest,” Journal of Computer Applications, vol.28, no.5, pp.1310-1312, May. 2008.Search in Google Scholar
R. H. Jiao, Y. C. Li, J. B. Hou, “Remote sensing image compress-ion based on visual modeland image feature,” Journal of Beijing University of Aeronautics and Astronautics, vol.31, no.2, pp.197-201, Feb. 2005.Search in Google Scholar
Z. Q. Yang, Y. H. Yi, Q. Q. Qin, “Adaptive Image Compression Based on Visual Masking Effect,” Geomatics and Information Science of Wuhan University, vol.31, no.9, pp.802-805, Sep. 2006.Search in Google Scholar
H. F. Li, X. X. Ding, H. Y. Qian, “Image compression algorithm based on integer wavelet transform,” Computer Engineering and Design, vol.27, no.11, pp.2015-2016, Jun. 2006.10.31193/ssap.isbn.9787509784891Search in Google Scholar
J. Chen, “The Review of the Static Image Compression Standard,” Computer Applications and Software, vol.22, no.9, pp.130-132, Oct. 2005.Search in Google Scholar
F. Gao, X. B. Gao, “Active Feature Learning and Its Application in Blind Image Quality Assessment,” Chinese Journal of Computers, vol.37, no.10, pp.2228-2234, Oct. 2014.Search in Google Scholar
H. R. Sheikh, Z. Wang, L. Cormack, et al., “Blind quality assessment for JPEG2000 compressed images,” in Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, IEEE, 2002, vol.2, pp. 1735-1739.Search in Google Scholar