Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Wang, Zhongling"'
Autor:
Lu, Yitong, Yu, Xiaowen, Wang, Zhongling, Kong, Linghui, Jiang, Zhenyuan, Shang, Ruirui, Zhong, Xia, Lv, Shimeng, Zhang, Guangheng, Gao, Haonan, Yang, Ni
Publikováno v:
In Phytomedicine November 2024 134
Banding or false contour is an annoying visual artifact whose impact is even more pronounced in ultra high definition, high dynamic range, and wide colour gamut visual content, which is becoming increasingly popular. Since users associate a heightene
Externí odkaz:
http://arxiv.org/abs/2110.08569
The enormous space and diversity of natural images is usually represented by a few small-scale human-rated image quality assessment (IQA) datasets. This casts great challenges to deep neural network (DNN) based blind IQA (BIQA), which requires large-
Externí odkaz:
http://arxiv.org/abs/2109.12161
Autor:
Mansley, Zachary R., Huang, Cynthia, Barry, Patrick, Rodriguez-Campos, Armando, Millares, Marie F., Wang, Zhongling, Ma, Lu, Ehrlich, Steven N., Yan, Shan, Takeuchi, Esther S., Marschilok, Amy C., Takeuchi, Kenneth J., Zhu, Yimei
Publikováno v:
In Materials Today Energy August 2024 44
Image quality assessment (IQA) models aim to establish a quantitative relationship between visual images and their perceptual quality by human observers. IQA modeling plays a special bridging role between vision science and engineering practice, both
Externí odkaz:
http://arxiv.org/abs/2102.00195
Autor:
Zhu, Yi, Deng, Jiali, Lu, Hongwei, Mei, Zhu, Lu, Ziwei, Guo, Jiajing, Chen, An, Cao, Rong, Ding, Xinyi, Wang, Jingyi, Forgham, Helen, Qiao, Ruirui, Wang, Zhongling
Publikováno v:
In Biomaterials April 2025 315
Out-of-focus microscopy lens in digital pathology is a critical bottleneck in high-throughput Whole Slide Image (WSI) scanning platforms, for which pixel-level automated Focus Quality Assessment (FQA) methods are highly desirable to help significantl
Externí odkaz:
http://arxiv.org/abs/2007.06565
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 40, Iss 1, Pp 52-67 (2023)
The classification of the breast imaging-reporting and data system (BI-RADS) based on magnetic resonance imaging (MRI) refers to the classification of the degree of lesions according to the image signs of lesions, which is usually subjective. Moreove
Externí odkaz:
https://doaj.org/article/f4d887f666214c239353eff25b3b0966