Zobrazeno 1 - 10
of 7 357
pro vyhledávání: '"image quality assessment"'
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract As the quantity and significance of digital pictures in the medical industry continue to increase, Image Quality Assessment (IQA) has recently become a prevalent subject in the research community. Due to the wide range of distortions that Ma
Externí odkaz:
https://doaj.org/article/63818133001d492d81c80c7b4f9dd15d
Autor:
Wenzhong Tian, Arturo Sanchez-Azofeifa, Za Kan, Qingzhan Zhao, Guoshun Zhang, Yuzhen Wu, Kai Jiang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104130- (2024)
Assessing the quality of UAV-HSIs (Unmanned aerial vehicle hyperspectral images) is crucial for evaluating sensor performance, identifying distortion types, and measuring data inversion accuracy. Due to the absence of reference images, UAV-HSI qualit
Externí odkaz:
https://doaj.org/article/74cfe91fa5a04270a2c1f3b58fb4b998
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 476-485 (2024)
Video anomaly detection is a very important research topic, especially in the field of automatic driving, and timely acquisition of road conditions ahead is very important for safe driving. Past methods used convolution and other operations, resultin
Externí odkaz:
https://doaj.org/article/740c64d4de174699ac33ee54e95f8328
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 10, Pp 4127-4133 (2024)
Noise reduction in low-dose positron emission tomography (PET) is a well-researched topic aimed at reducing patient radiation doses and improving diagnosis. Software-based noise reduction mainly improves the contrast between regions by reducing the v
Externí odkaz:
https://doaj.org/article/38fb906b177b4a82baf5690fe0ef8593
Autor:
Takamichi Miyata
Publikováno v:
IEEE Access, Vol 12, Pp 70973-70983 (2024)
No-reference image quality assessment (NR-IQA), which aims to estimate the perceptual quality of a degraded image without accessing the corresponding original image, is a key challenge in low-level computer vision. Recent advances in deep learning ha
Externí odkaz:
https://doaj.org/article/8b0d27e57cda4b2198705b6233825ea5
Publikováno v:
IEEE Access, Vol 12, Pp 47258-47270 (2024)
The quality of images and videos is an important research topic due to their wide applications. The research should match the human subjective evaluation of quality. There are three types of objective image quality assessment: full-reference, reduced
Externí odkaz:
https://doaj.org/article/85b7d7a668124a41a945fe2d5f7b3da8
Publikováno v:
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), Vol 10, Iss 2, Pp 379 – 390-379 – 390 (2024)
Penelitian ini dilakukan dengan mengaplikasikan metode Neural Style Transfer pada berbagai set gambar konten dan gaya, kemudian menghitung nilai FSIM untuk setiap pasangan gambar hasil dan gambar asli. Analisa dilakukan terhadap faktor-faktor seperti
Externí odkaz:
https://doaj.org/article/ceb8e9e8f2334bca9cb214a679a1c80d
Autor:
Shengzhan Wang, Wenyue Shen, Zhiyuan Gao, Xiaoyu Jiang, Yaqi Wang, Yunxiang Li, Xiaoyu Ma, Wenhao Wang, Shuanghua Xin, Weina Ren, Kai Jin, Juan Ye
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
BackgroundThe assessment of image quality (IQA) plays a pivotal role in the realm of image-based computer-aided diagnosis techniques, with fundus imaging standing as the primary method for the screening and diagnosis of ophthalmic diseases. Conventio
Externí odkaz:
https://doaj.org/article/02b296853bcf431eab09e65dc2e19fcf
Publikováno v:
Інтродукція Рослин, Iss 101/102 (2024)
The current paper represents the continuation of the testing of the budget photosystems for herbarium digitization and aims to demonstrate the color reproduction accuracy besides other colorimetric characteristics of five color reference targets. It
Externí odkaz:
https://doaj.org/article/ed479bb4894e484db24dffeffbdfe3bf
Autor:
Hyeon Ki Jeong, Christine Park, Simon W. Jiang, Matilda Nicholas, Suephy Chen, Ricardo Henao, Meenal Kheterpal
Publikováno v:
JID Innovations, Vol 4, Iss 4, Pp 100285- (2024)
The image quality received for clinical evaluation is often suboptimal. The goal is to develop an image quality analysis tool to assess patient- and primary care physician–derived images using deep learning model. Dataset included patient- and prim
Externí odkaz:
https://doaj.org/article/547e4b12e9ca4f46a7884bb345a70e71