Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gadipudi Amaranageswarao"'
Publikováno v:
Applied Intelligence. 52:7550-7565
The development of deep convolutional neural networks (DNN) has progressed the recent research interest on super-resolution (SR). The existing DNNs benefited from residual learning and achieved improved performance. In this paper, we propose a discre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bdc423e57d11f01784c89639e10df9f
https://doi.org/10.1007/s10489-021-02832-2
https://doi.org/10.1007/s10489-021-02832-2
Publikováno v:
The Visual Computer. 38:31-50
In this paper, a joint restoration convolutional neural network (JRCNN) is proposed to produce a visually pleasing super resolution (SR) image from a single low-quality (LQ) image. The LQ image is a low resolution (LR) image with ringing, blocking an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74869d3e7f5b109b74e76d6e350501f3
https://doi.org/10.1007/s00371-020-01998-z
https://doi.org/10.1007/s00371-020-01998-z
Publikováno v:
Applied Intelligence. 50:2177-2193
In many practical situations, images are not only down sampled but also compressed for efficient transmission and storage. JPEG and MPEG-2 compressions often introduce blocking artifacts because they process the data as 8 × 8 blocks. Many of the exi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09614a3f8f81f1c2421eb7bff69b093a
https://doi.org/10.1007/s10489-020-01670-y
https://doi.org/10.1007/s10489-020-01670-y
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811922800
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0e762657085e2db9fecf18441c9a07f
https://doi.org/10.1007/978-981-19-2281-7_25
https://doi.org/10.1007/978-981-19-2281-7_25
Publikováno v:
2020 International Conference on Artificial Intelligence and Signal Processing (AISP).
This paper is about learning based super resolution (SR) by exploiting wavelet coefficients using convolutional neural network (CNN). The objective of SR is to generate a high quality and visually pleasing image from the low-resolution (LR) image(s)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33a50684eb4e77710bdd9c19640be35a
https://doi.org/10.1109/aisp48273.2020.9073328
https://doi.org/10.1109/aisp48273.2020.9073328
Deep dilated and densely connected parallel convolutional groups for compression artifacts reduction
Publikováno v:
Digital Signal Processing. 106:102804
A widely used JPEG lossy compression standard introduces different artifacts, particularly, blocking, ringing and blurring effects in the compressed image. Existing algorithms focus on deblocking and discard the ringing, blurring artifacts that produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cf7567bdc5cacd30d5c81e60d271779
https://doi.org/10.1016/j.dsp.2020.102804
https://doi.org/10.1016/j.dsp.2020.102804
Publikováno v:
Signal Processing: Image Communication. 89:116009
Different artifacts will manifest, whenever an image is compressed by a lossy compression algorithm. Higher frequency details present in the image may tend to be eliminated by compression. In certain cases, compression may introduce small image struc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c1d59c3a8da7ed1330852c92a1de174
https://doi.org/10.1016/j.image.2020.116009
https://doi.org/10.1016/j.image.2020.116009
Publikováno v:
Journal of Visual Communication and Image Representation. 70:102819
In clinical analysis and diagnosis, high resolution (HR) computed tomography (CT) images are required for proper treatment of a patient. Developing HR medical images by X-ray CT devices require extended radiation exposure with large radiative dosages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d318ac7e4ef93078bfa2ae1c666a4db8
https://doi.org/10.1016/j.jvcir.2020.102819
https://doi.org/10.1016/j.jvcir.2020.102819