Total Variation Based Perceptual Image Quality Assessment Modeling

Chen, L. M. (2021). A Study on Image Processing Method Combined with Real Human Visual System [doctoral dissertation, Tamkang University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0002-1807202115080900
HAQUE, M. I. U., QADRI, M. T., & SIDDIQUI, N. (2017). Image Quality Assessment using Image Details in Frequency Domain. Mehran University Research Journal of Engineering and Technology, 36(4), 789-796. https://www.airitilibrary.com/Article/Detail?DocID=P20170126001-201710-201802270006-201802270006-789-796
Wang, L., & Hsieh, W. T. (2012). A Practical Evaluation Model for the Improvement of the Quality of Image Contrast. 電腦學刊, 23(3), 35-47. https://www.airitilibrary.com/Article/Detail?DocID=19911599-201209-201211050061-201211050061-35-47
謝昌利（2014）。Image Quality Assessment Based on Improved Visual Information Fidelity〔碩士論文，國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-1808201412200000
Hsieh, C. Y. (2009). Model overview by optimizing visual information and visibilitycompleteness [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2009.10047