Results 281 to 290 of about 360,556 (315)

A MAP Algorithm to Super-Resolution Image Reconstruction

Third International Conference on Image and Graphics (ICIG'04), 2005
Super-resolution image reconstruction has been one of the most active research areas in recent years. In this paper, a new super-resolution algorithm is proposed to the problem of obtaining a high-resolution image from several low-resolution images that have been sub-sampled and displaced by different amounts of sub-pixel shifts. The algorithm is based
Huanfeng Shen, Pingxiang Li, Liangpei Zhang 0001, Yindi Zhao   +3 more
openaire   +1 more source

Super resolution image reconstruction and imaging device

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016
Super resolution (SR) studies started in the 1990s and many papers were issued in the 2000s. Super resolution image reconstruction (SRR) is one of the most common SR methods. SRR reconstructs a high-resolution image (HRI) using multiple low-resolution images (LRIs).
Chinatsu Mori, Kenkichi Tanioka, Seiichi Gohshi   +2 more
openaire   +1 more source

Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning

Comput. Methods Programs Biomed., 2020
BACKGROUND AND OBJECTIVE With the rapid development of medical imaging and intelligent diagnosis, artificial intelligence methods have become a research hotspot of radiography processing technology in recent years.
Defu Qiu, Shengxiang Zhang, Y. Liu, Jianqing Zhu, Lixin Zheng   +4 more
semanticscholar   +1 more source

Super-resolution reconstruction in MRI

2012
Improving the resolution in magnetic resonance imaging (MRI) is always done at the expense of either the signal-to-noise ratio (SNR) or the acquisition time. This study investigates whether so-called super-resolution reconstruction (SRR) is an advantageous alternative to direct high-resolution (HR) acquisition in terms of the SNR and acquisition time ...
Plenge, Esben, Poot, Dirk H.J., Bernsen, Monique, Kotek, Gyula, Houston, Gavin, Wielopolski, Piotr, Van Der Weerd, Louise, Niessen, Wiro J., Meijering, Erik   +8 more
openaire   +1 more source

A GPU-based implementation on super-resolution reconstruction

2012 19th IEEE International Conference on Image Processing, 2012
Super-resolution reconstruction (SRR) proposes a fusion of several low-quality images into one higher quality result with better optical resolution. However, due to the vast amount of calculation of the SRR algorithm, its implementation is too slow. In this paper, we present a GPU-based parallel implementation on SRR algorithm.
Kai Wang, Lifu Wang, Jian Lu, Yi Sun 0009, Shuping Zhao   +4 more
openaire   +1 more source

Numerical error analysis for super-resolution reconstruction

2008 IEEE International Symposium on Circuits and Systems, 2008
Superresolution reconstruction (SR) is a technique for reconstructing a high resolution image from several low resolution ones. Recently, some researchers study the relationship of SR error and magnification factor, and give out the efficient and forbidden magnification range in their published literature.
Ci Wang, Yap-Peng Tan, Kap Luk Chan
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Limitation of Super Resolution Image Reconstruction for Video

2013 Fifth International Conference on Computational Intelligence, Communication Systems and Networks, 2013
Super resolution image reconstruction (SRR) is one of the typical super resolution (SR) technologies that has been researched in the past with varying results. The SRR algorithm was proposed for still images at first and was extended to video. However, there are different characteristics between still images and video.
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Performance of reconstruction-based super-resolution with regularization

Journal of Visual Communication and Image Representation, 2010
From the perspective of linear algebra, the performance of super-resolution reconstruction (SR) depends on the conditioning of the linear system characterizing the degradation model. This is analyzed in the Fourier domain using the perturbation theory.
Minmin Shen, Ci Wang, Ping Xue 0001, Weisi Lin   +3 more
openaire   +1 more source

Super-resolution image reconstruction for video sequence

Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 2011
Because of motion, optical and sensor PSF, image resolution is usually not high in video image. To solve this problem this paper firstly proposes a model of image degradation. Then using the continuous frames which is taken from the same scene, it adopts the cubic spline interpolate method for motion compensation.
Xianghua Hou, Honghai Liu 0002
openaire   +1 more source

A review of single image super-resolution reconstruction based on deep learning

Multimedia tools and applications, 2023
Ming Yu, Jiecong Shi, Cuihong Xue, Xiaoke Hao, Gang Yan   +4 more
semanticscholar   +1 more source