Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Balasubramanyam Appina"'
Autor:
Balasubramanyam, Appina, Akshith, Jalli, Srinivas, Battula Shanmukh, Sumohana, Channappayya S
We present a no reference (NR) quality assessment algorithm for assessing the perceptual quality of natural stereoscopic 3D (S3D) videos. This work is inspired by our finding that the joint statistics of the subband coefficients of motion (optical fl
Externí odkaz:
http://arxiv.org/abs/1711.05480
Autor:
Ajay Kumar Reddy Poreddy, Peter A. Kara, Roopak R. Tamboli, Aniko Simon, Balasubramanyam Appina
Publikováno v:
The Visual Computer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::394838d5d792d61496a483437aa47ea6
https://doi.org/10.1007/s00371-022-02760-3
https://doi.org/10.1007/s00371-022-02760-3
Publikováno v:
2022 IEEE International Conference on Signal Processing and Communications (SPCOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ed8ce8e6e603e62b318e6a04f8a0985
https://doi.org/10.1109/spcom55316.2022.9840855
https://doi.org/10.1109/spcom55316.2022.9840855
Publikováno v:
Novel Optical Systems, Methods, and Applications XXIV
Through the immense scientific efforts of the past two decades, light field visualization is now emerging in the industry, and commercial, everyday use cases are also expected to benefit from this glasses-free true 3D technology in the near future. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2650f7b86e35ad0bafc729d42e5176b
https://eprints.kingston.ac.uk/id/eprint/50362/1/Kara-P-50362-AAM.pdf
https://eprints.kingston.ac.uk/id/eprint/50362/1/Kara-P-50362-AAM.pdf
Publikováno v:
Applications of Machine Learning 2021
Objective quality metrics provide cost-efficient methods for quality evaluation, as they are practically algorithms, models, that avoid the necessity of subjective assessment, which is a precise but resource-consuming approach. Their ultimate measure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::403067503a0cfd04f0cfa4991327cb85
https://doi.org/10.1117/12.2597649
https://doi.org/10.1117/12.2597649
Numerous stereoscopic 3D movies are released every year to theaters and created large revenues. Despite the improvement in stereo capturing and 3D video post-production technology, stereoscopic artifacts which cause viewer discomfort continue to appe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77ace82cff34ff0abc0c47cec297657a
http://arxiv.org/abs/2101.10039
http://arxiv.org/abs/2101.10039
Autor:
Balasubramanyam Appina
Publikováno v:
SPCOM
We propose a complete blind no-reference (NR) image quality assessment algorithm for assessing the perceptual quality of natural stereoscopic (S3D) images. Towards this end, we have generated an intermediate image from the left and right views, and h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2dfc8ba24d720e427561b2b1cab7c1c
https://doi.org/10.1109/spcom50965.2020.9179556
https://doi.org/10.1109/spcom50965.2020.9179556
Publikováno v:
IEEE Signal Processing Letters. 25:823-827
In this letter, we present a full-reference (FR) quality assessment algorithm to assess the perceptual quality of natural stereoscopic three-dimensional (S3-D) videos. Toward the end, we rely on an empirical model for the joint statistics of motion a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfbb4f0a0f709e99464c6a0143c7e7c4
https://doi.org/10.1109/lsp.2018.2829107
https://doi.org/10.1109/lsp.2018.2829107
Autor:
Balasubramanyam Appina, Sumohana S. Channappayya, Sathya Veera Reddy Dendi, Alan C. Bovik, K. Manasa
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
We present a new subjective and objective study on full high-definition (HD) stereoscopic (3D or S3D) video quality. In the subjective study, we constructed an S3D video dataset with 12 pristine and 288 test videos, and the test videos are generated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5443cd0a13407f4e005fc9f35570ad2a
https://pubmed.ncbi.nlm.nih.gov/31094690
https://pubmed.ncbi.nlm.nih.gov/31094690