Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Tamara Seybold"'
Publikováno v:
Medical Image Understanding and Analysis ISBN: 9783031120527
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c515a8a7c5461b9e4d8587beac82f683
https://doi.org/10.1007/978-3-031-12053-4_52
https://doi.org/10.1007/978-3-031-12053-4_52
Publikováno v:
QoMEX
The quality of images and videos is usually examined with well established subjective tests or instrumental models. These often target content transmitted over the internet, such as streaming or videoconferences and address the human preferential exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22e823de112493176707de5aa023356c
https://doi.org/10.1109/qomex.2019.8743189
https://doi.org/10.1109/qomex.2019.8743189
Publikováno v:
Color and Imaging Conference. 24:20-26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17e595dd45158ea386caa28fc5f16f00
https://doi.org/10.2352/issn.2169-2629.2017.32.20
https://doi.org/10.2352/issn.2169-2629.2017.32.20
Autor:
Tamara Seybold, Thomas Hach
Publikováno v:
International Journal of Multimedia Data Engineering and Management. 7:21-35
This paper proposes a novel strategy for depth video denoising in RGBD camera systems. Depth map sequences obtained by state-of-the-art Time-of-Flight sensors suffer from high temporal noise. Hence, all high-level RGB video renderings based on the ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d05dbe6552c0b4196c9ee8734d919dad
https://doi.org/10.4018/ijmdem.2016040102
https://doi.org/10.4018/ijmdem.2016040102
Autor:
Tamara Seybold
Publikováno v:
Denoising of Photographic Images and Video ISBN: 9783319960289
Denoising is a traditional but still challenging problem in signal processing. To reduce the noise in images and videos captured by a digital sensor receives more and more attention also due to the shrinking size of today’s image sensors and strivi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b5e44dac371ae4bb1c66da59233042d
https://doi.org/10.1007/978-3-319-96029-6_9
https://doi.org/10.1007/978-3-319-96029-6_9
Publikováno v:
Color and Imaging Conference. 22:53-58
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27ce5ed44d9930af653f9a4bdb0bbd63
https://doi.org/10.2352/cic.2014.22.1.art00008
https://doi.org/10.2352/cic.2014.22.1.art00008
Beyond Standard Noise Models: Evaluating Denoising Algorithms with Respect to Realistic Camera Noise
Publikováno v:
International Journal of Semantic Computing. :145-167
The development and tuning of denoising algorithms is usually based on readily processed test images that are artificially degraded with additive white Gaussian noise (AWGN). While AWGN allows us to easily generate test data in a repeatable manner, i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de18602c0c7806d8cbf5fa9c37936b64
https://doi.org/10.1142/s1793351x14400029
https://doi.org/10.1142/s1793351x14400029
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
Digital Photography and Mobile Imaging
instname
Digital Photography and Mobile Imaging
Comunicació presentada al IS&T International Symposium on Electronic Imaging, celebrat del 14 al 18 de febrer de 2016 a San Francisco (CA, USA) i organitzat per la Society for Imaging Science and Technology. State-of-the-art denoising methods achiev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd26777a16843b8b87a2e60d29ae56eb
http://hdl.handle.net/10230/28213
http://hdl.handle.net/10230/28213
Publikováno v:
ISM
This paper proposes a novel strategy for depth video denoising in RGBD camera systems. Today's depth map sequences obtained by state-of-the-art Time-of-Flight sensors suffer from high temporal noise. All high-level RGB video renderings based on the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88368fee0910a85678c8a35211f7a69c
https://doi.org/10.1109/ism.2015.112
https://doi.org/10.1109/ism.2015.112
Publikováno v:
Three-Dimensional Image Processing, Measurement (3DIPM), and Applications
This paper presents a new pre-processing algorithm for Time-of-Flight (TOF) depth map denoising. Typically, denoising algorithms use the raw depth map as it comes from the sensor. Systematic artifacts due to the measurement principle are not taken in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ec0ae1326b1a950ad62ce207b0903df
https://doi.org/10.1117/12.2076622
https://doi.org/10.1117/12.2076622