Side Scan Sonar Image Super Resolution via Region-Selective Sparse Coding
نویسندگان
چکیده
منابع مشابه
Image Super-Resolution with Fast Approximate Convolutional Sparse Coding
We present a computationally e cient architecture for image super-resolution that achieves state-of-the-art results on images with large spatial extend. Apart from utilizing Convolutional Neural Networks, our approach leverages recent advances in fast approximate inference for sparse coding. We empirically show that upsampling methods work much better on latent representations than in the origi...
متن کاملSparse Coding Approach for Multi-Frame Image Super Resolution
An image super-resolution method from multiple observation of low-resolution images is proposed. The method is based on sub-pixel accuracy block matching for estimating relative displacements of observed images, and sparse signal representation for estimating the corresponding high-resolution image. Relative displacements of small patches of observed low-resolution images are accurately estimat...
متن کاملSupplementary Material to “Convolutional Sparse Coding for Image Super-resolution”
Shuhang Gu, Wangmeng Zuo, Qi Xie, Deyu Meng, Xiangchu Feng, Lei Zhang1,∗ Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China School of Mathematics and Statistics, Xi′an Jiaotong University, Xi′an, China Dept. of Applied Mathematics, Xidian University, Xian, China {cssgu, cslzhang}@com...
متن کاملSelective Image Super-Resolution
In this paper we propose a vision system that performs image Super Resolution (SR) with selectivity. Conventional SR techniques, either by multi-image fusion or example-based construction, have failed to capitalize on the intrinsic structural and semantic context in the image, and performed “blind” resolution recovery to the entire image area. By comparison, we advocate examplebased selective S...
متن کاملImage Super-Resolution via Sparse Bayesian Modeling of Natural Images
Image super-resolution (SR) is one of the long-standing and active topics in image processing community. A large body of works for image super resolution formulate the problem with Bayesian modeling techniques and then obtain its Maximum-A-Posteriori (MAP) solution, which actually boils down to a regularized regression task over separable regularization term. Although straightforward, this appr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2019
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2018edl8170