Zobrazeno 1 - 10
of 192
pro vyhledávání: '"Shih-Chia Huang"'
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9526 (2024)
In the field of Cooperative Intelligent Transport Systems (C-ITSs), the traditional approach to testing often emphasizes technological parameters, leaving the validation of message content insufficiently addressed. Since the content of these messages
Externí odkaz:
https://doaj.org/article/81a7123dc894465e825d08efc832866e
Autor:
Shih-Chia Huang, Da-Wei Jaw, Wenli Li, Zhihui Lu, Sy-Yen Kuo, Benjamin C. M. Fung, Bo-Hao Chen, Thanisa Numnonda
Publikováno v:
IEEE Access, Vol 9, Pp 44599-44609 (2021)
Haze removal techniques employed to increase the visibility level of an image play an important role in many vision-based systems. Several traditional dark channel prior-based methods have been proposed to remove haze formation and thereby enhance th
Externí odkaz:
https://doaj.org/article/0aabc4e2c0f641529beebc43c6380fae
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 1, Pp 173-181 (2020)
The removal of impulse noise is a crucial pre-processing step in image processing systems. In recent years, numerous noise-removal methods have been proposed to improve denoizing performance and reconstruct noise-free images. However, removing high-d
Externí odkaz:
https://doaj.org/article/00e4f210134641bc9874a254022caba7
Publikováno v:
IEEE Access, Vol 8, Pp 99180-99189 (2020)
In this work, we propose an image denoising approach, specifically for “salt-and-pepper noise,” based on the optimized sparse approximation for restoring images contaminated by high-density impulse noise. The proposed method first uses the invers
Externí odkaz:
https://doaj.org/article/a45a32db88c44468b50f6493c5804d92
Publikováno v:
IEEE Access, Vol 7, Pp 59172-59184 (2019)
With the rapid development of big data technology and the Internet, the requirements of human activities for data are getting higher and higher, and the increasing data volume has a high demand for data processing. The paradigm of the Internet of Thi
Externí odkaz:
https://doaj.org/article/d34072a817c94b3281d9a8bb53425b58
Publikováno v:
Sensors, Vol 22, Iss 6, p 2168 (2022)
This work proposes to develop an underwater image enhancement method based on histogram-equalization (HE) approximation using physics-based dichromatic modeling (PDM). Images captured underwater usually suffer from low contrast and color distortions
Externí odkaz:
https://doaj.org/article/656de4bb542343faa9bdf9b900f4711c
Autor:
Shih-Chia Huang, Quoc-Viet Hoang, Trung-Hieu Le, Yan-Tsung Peng, Ching-Chun Huang, Cheng Zhang, Benjamin C. M. Fung, Kai-Han Cheng, Sha-Wo Huang
Publikováno v:
Sensors, Vol 21, Iss 16, p 5391 (2021)
Complementary metal-oxide-semiconductor (CMOS) image sensors can cause noise in images collected or transmitted in unfavorable environments, especially low-illumination scenarios. Numerous approaches have been developed to solve the problem of image
Externí odkaz:
https://doaj.org/article/8e09dabc21344f2f9818088f7da23025
Autor:
Shih‐Chia Huang, Pei‐Chi Wei, Wendy W Hwang‐Verslues, Wen‐Hung Kuo, Yung‐Ming Jeng, Chun‐Mei Hu, Jin‐Yuh Shew, Chiun‐Sheng Huang, King‐Jen Chang, Eva Y‐HP Lee, Wen‐Hwa Lee
Publikováno v:
EMBO Molecular Medicine, Vol 9, Iss 12, Pp 1660-1680 (2017)
Abstract Lymph node (LN) metastasis is commonly associated with systemic distant organ metastasis in human breast cancer and is an important prognostic predictor for survival of breast cancer patients. However, whether tumor‐draining LNs (TDLNs) pl
Externí odkaz:
https://doaj.org/article/39af5c9774ba4e8ba141f35bd41573c5
Publikováno v:
IEEE Access, Vol 5, Pp 10734-10743 (2017)
Many elderly persons prefer to stay alone in a single-resident house for seeking an independent life and reducing the cost of health care. However, the independent life cannot be maintained if the resident develops dementia. Thus, an early detection
Externí odkaz:
https://doaj.org/article/d13215cdd5b14662bd7fff5c3ec365a0
Publikováno v:
IET Computer Vision, Vol 10, Iss 5, Pp 351-360 (2016)
Recently, the development of automatic face annotation techniques in online social networks has become a promising research area for the purpose of management of the large numbers of photographs uploaded to social network platforms. In this study, th
Externí odkaz:
https://doaj.org/article/65a88141ab7544bca1c4afe846e618aa