Zobrazeno 1 - 10
of 447
pro vyhledávání: ''
Publikováno v:
SIBGRAPI
This paper presents a new technique to solve the single image super resolution reconstruction problem based on multiple extreme learning machine regressors, called here MELM. The MELM employs a feature space of low resolution images, divided in subsp
Publikováno v:
CVPR
Edge detection had made significant progress with the help of deep Convolutional Networks (ConvNet). ConvNet based edge detectors approached human level performance on standard benchmarks. We provide a systematical study of these detector outputs, an
Autor:
Noël Richard, Mihai Ivanovici
Publikováno v:
2017 International Symposium on Signals, Circuits and Systems (ISSCS).
The notion of complexity is widely-known and used. Various definitions of complexity exist: the Hausdorff dimension, fractal dimension, Kolmogorov complexity, Krohn-Rhodes complexity, Lyapunov exponents or the entropy, some of them with several defin
Publikováno v:
SIU
In this study, a new method is proposed to achieve a high resolution (HR) image from low resolution (LR) video frames, which include camera motions as well as local motions. The best matching block in the motion estimation is obtained by using the va
Autor:
Xintong Tan, Jubo Zhu
Publikováno v:
2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP).
This paper aims at the feature enhancement for multi-polarimetric synthetic aperture radar (SAR) images. A novel approach based on PDE and regularization which is an extension of the original PDE and regularization methods is proposed. It contains th
Publikováno v:
2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN).
In this paper, a novel resolution enhancement approach based on Quaternion wavelet transform (QWT) with singular value decomposition (SVD) is proposed. The technique decomposes the input image into sixteen frequency sub bands by using QWT. The singul
Autor:
Israel Yañez-Vargas, Felipe Astudillo-Montenegro, Sheila Esmeralda Gonzalez-Reyna, Gabriel Aguilera-Gonzalez, Andrea Gonzalez-Ramirez
Publikováno v:
CONIELECOMP
Breast cancer is worldwide the second cause of death by cancer in women. Digital mammogram analysis is one of the best diagnostic tools for detecting breast cancer in early stages, leading to improve the probability of survival and reducing treatment
Autor:
Radu Timofte
Publikováno v:
ICPR
Recently, a series of advances were made for image restoration tasks such as image denoising and single image super-resolution. It is particularly remarkable that methods employing different formulations and assumptions achieve comparable top perform
Publikováno v:
ICPR
Recently sparse representation has gained great success in face image super-resolution. The conventional sparsity-based methods enforce sparse coding on face image patches and the representation fidelity is measured by l 2 -norm. Such a sparse coding
Autor:
Hyukzae Lee, Changick Kim
Publikováno v:
APSIPA
We propose a simple yet effective blur kernel re-initialization method in a coarse-to-fine framework for blind image deblurring. The proposed method is motivated by observing that most deblurring algorithms use only an estimated blur kernel at the co