Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Hua-Wen Chang"'
Publikováno v:
International Journal of Digital Multimedia Broadcasting, Vol 2022 (2022)
This paper proposes an image quality evaluation (IQE) metric by considering gradient, visual saliency, and color information. Visual saliency and gradient information are two types of effective features for quality evaluation research. Different regi
Externí odkaz:
https://doaj.org/article/9f512ad4d2c544fe8df41aebeece3e77
Autor:
Hua-wen Chang, 張華紋
94
The purpose of research aims at understanding that the employees’ leisure participation, job involvement and job satisfaction present situation, and analyzing the difference between those three variables in different background’s employee
The purpose of research aims at understanding that the employees’ leisure participation, job involvement and job satisfaction present situation, and analyzing the difference between those three variables in different background’s employee
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/74718723849692503499
Publikováno v:
Journal of Electronic Imaging. 31
Publikováno v:
Displays. 75:102334
Publikováno v:
2021 7th International Symposium on System and Software Reliability (ISSSR).
Publikováno v:
2021 7th International Symposium on System and Software Reliability (ISSSR).
Publikováno v:
2020 6th International Symposium on System and Software Reliability (ISSSR).
In order to evaluate the perceptual quality of images, a full-reference quality index, which is called principal component deviation (PCD), is presented. This research is motivated by the discovery that the filters learned by the probabilistic princi
Publikováno v:
IEEE Transactions on Consumer Electronics. 58:993-999
This paper presents a novel digital video stabilization approach that provides both efficiency and robustness. In this approach, features of each frame are first detected by the oriented features from accelerated segment test (FAST) method, and then
Autor:
Hua-wen Chang, Ming-hui Wang
Publikováno v:
Signal Processing: Image Communication. 26:577-588
Image quality assessment (IQA) is of fundamental importance to numerous image processing applications. Generally, image quality metrics (IQMs) regard image quality as fidelity or similarity with a reference image in some perceptual space. Such a full