Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Deepasikha Mishra"'
Autor:
Keerthi Gabbi Reddy, Deepasikha Mishra
Publikováno v:
IEEE Access, Vol 12, Pp 130675-130692 (2024)
In environments rich in data, machine learning models often encounter challenges such as data sparsity and overfitting, primarily due to datasets with an excessive number of features. To address these issues, this paper introduces a novel feature sel
Externí odkaz:
https://doaj.org/article/c2880c7c4fc74b1db9f4196548f9f19a
Publikováno v:
Multimedia Tools and Applications. 79:8337-8366
This article proposes an improved learning based super resolution scheme using manifold learning for texture images. Pseudo Zernike moment (PZM) has been employed to extract features from the texture images. In order to efficiently retrieve similar p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cf95d3e048723b14d12eb2e9328f6cd
https://doi.org/10.1007/s11042-017-5367-5
https://doi.org/10.1007/s11042-017-5367-5
Publikováno v:
Neurocomputing. 202:49-66
In this paper, we propose a robust neighbor embedding super-resolution (RNESR) scheme to generate a super-resolution (SR) image from a single low-resolution (LR) image. It utilizes histogram matching for selection of best training pair of images. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fed5f3a88bd73a63168e27dec774e6d5
https://doi.org/10.1016/j.neucom.2016.04.013
https://doi.org/10.1016/j.neucom.2016.04.013
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811021060
CVIP (2)
CVIP (2)
This paper presents a new feature selection method for learning based single image super-resolution (SR). The performance of learning based SR strongly depends on the quality of the feature. Better features produce better co-occurrence relationship b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd644f29883d57f00192d7a03c4ac254
https://doi.org/10.1007/978-981-10-2107-7_2
https://doi.org/10.1007/978-981-10-2107-7_2
Autor:
Ravi Ranjan Kumar, Deepasikha Mishra
Publikováno v:
2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).
In this paper, super-resolution image is obtained from a single low-resolution image using dictionary learning approach. The original image is blurred and downsampled to the low-resolution image, and has to find the value which is lost during downsam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fb64f132be4919f422927850d15f68b
https://doi.org/10.1109/iceeot.2016.7755097
https://doi.org/10.1109/iceeot.2016.7755097
Publikováno v:
2014 Annual IEEE India Conference (INDICON).
Resolution plays a crucial role for study of information in an image. Therefore to enhance the resolution of an image, there are so many techniques have been proposed with respect to the reference images. In this paper, we proposed a new scheme for s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b0170b68330b7f1ef7f36dc3620edb3
https://doi.org/10.1109/indicon.2014.7030659
https://doi.org/10.1109/indicon.2014.7030659