Progressive back-projection network for COVID-CT super-resolution
نویسندگان
چکیده
منابع مشابه
Deep Back-Projection Networks For Super-Resolution
The feed-forward architectures of recently proposed deep super-resolution networks learn representations of low-resolution inputs, and the non-linear mapping from those to high-resolution output. However, this approach does not fully address the mutual dependencies of lowand high-resolution images. We propose Deep Back-Projection Networks (DBPN), that exploit iterative upand downsampling layers...
متن کاملVideo Super-Resolution by Motion Compensated Iterative Back-Projection Approach
CHEN-CHIUNG HSIEH, YO-PING HUANG, YU-YI CHEN AND CHIOU-SHANN FUH Department of Computer Science and Engineering Tatung University Taipei, 104 Taiwan E-mail: [email protected] Department of Electrical Engineering National Taipei University of Technology Taipei, 106 Taiwan E-mail: [email protected] Department of Computer Science and Information Engineering National Taiwan University Taipei, 10...
متن کاملAn Adaptively Edge-guided Back-projection Algorithm for Single Image Super-resolution
The iterative back-projection (IBP) algorithm for single image super-resolution (SR) can not guarantee the edge smoothness because the reconstruction error is back-projected isotropically. Furthermore, in the case that there is only one low-resolution input, the estimation of the reconstruction error is easily affected by noise. Thus, this algorithm is highly sensitive to noise. The focus of th...
متن کاملSuper-resolution Reconstruction Algorithm Based on Patch Similarity and Back-projection Modification
We propose an effective super resolution reconstruction algorithm based on patch similarity and back-projection modification. In the proposed algorithm, we assume patch to be similar in natural images and extract the high-frequency information from the best similar patch to add into goal high-resolution image. In the process of reconstruction, the high-resolution patch is back-projected into th...
متن کاملResolution enhancement by polyphase back-projection filtering
The method for reconstruction and restoration of super resolution images from low resolution sequences presented here is an extension of Irani and Peleg's algorithm (“Improving Resolution by Image Registration”, CVGIP: Graphical Models and Image Processing, Vol. 53, No. 3, pp. 231-239, 1991). The input is a set of low resolution images that have been registered to a pixel translation accuracy. ...
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: Computer Methods and Programs in Biomedicine
سال: 2021
ISSN: 0169-2607
DOI: 10.1016/j.cmpb.2021.106193