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Frequency domain based super-resolution method for mixed-resolution multi-view images
1
作者
Zhizhong Fu
yawei li
+2 位作者
Yuan
li
Lan Ding
Keyu Long
《Journal of Systems Engineering and Electronics》
SCIE
EI
CSCD
2016年第6期1303-1314,共12页
Super-resolution (SR) techniques, which are based on single or multi-frame low-resolution (LR) images, have been extensively investigated in the last two decades. Mixed-resolution multiview video format plays an impor...
Super-resolution (SR) techniques, which are based on single or multi-frame low-resolution (LR) images, have been extensively investigated in the last two decades. Mixed-resolution multiview video format plays an important role in three-dimensional television (3DTV) coding scheme. Previous work considers multiview or multi-camera images and videos at the same resolution, which performs well under the planar model without or with little projection error among the videos captured by different cameras. In recent years, several researchers have discussed the SR problem in mixed-resolution multi-view video format, where the superresolved image is created using the up-sampled version of the LR image and the high frequency components extracted from the warped image in the adjacent high-resolution (HR) views. Unfortunately, the output HR images suffer from artifacts caused by depth error. To obtain the detailed texture and edge information from the HR image as much as possible, while preserving the structure of the LR image, a novel SR reconstruction algorithm is proposed. The algorithm is composed of three components: the structure term, the detail information term, and the regularization term. The first term preserves the structure similarity of the LR image; the second term extracts detailed information from the adjacent HR image; and the last term ensures the uniqueness of the solution. Experimental results show the effectiveness and robustness of the proposed algorithm, which achieves high performance both subjectively and objectively. © 2016 Beijing Institute of Aerospace Information.
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关键词
Cameras
Edge
detection
Frequency
domain
analysis
Image
reconstruction
Optical
resolving
power
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职称材料
题名
Frequency domain based super-resolution method for mixed-resolution multi-view images
1
作者
Zhizhong Fu
yawei li
Yuan
li
Lan Ding
Keyu Long
机构
School of Communication and Information Engineering
The Second Research Institute of Civil Aviation Administration of China
出处
《Journal of Systems Engineering and Electronics》
SCIE
EI
CSCD
2016年第6期1303-1314,共12页
基金
supported by the National Natural Science Foundation of China(61075013
61671126)
文摘
Super-resolution (SR) techniques, which are based on single or multi-frame low-resolution (LR) images, have been extensively investigated in the last two decades. Mixed-resolution multiview video format plays an important role in three-dimensional television (3DTV) coding scheme. Previous work considers multiview or multi-camera images and videos at the same resolution, which performs well under the planar model without or with little projection error among the videos captured by different cameras. In recent years, several researchers have discussed the SR problem in mixed-resolution multi-view video format, where the superresolved image is created using the up-sampled version of the LR image and the high frequency components extracted from the warped image in the adjacent high-resolution (HR) views. Unfortunately, the output HR images suffer from artifacts caused by depth error. To obtain the detailed texture and edge information from the HR image as much as possible, while preserving the structure of the LR image, a novel SR reconstruction algorithm is proposed. The algorithm is composed of three components: the structure term, the detail information term, and the regularization term. The first term preserves the structure similarity of the LR image; the second term extracts detailed information from the adjacent HR image; and the last term ensures the uniqueness of the solution. Experimental results show the effectiveness and robustness of the proposed algorithm, which achieves high performance both subjectively and objectively. © 2016 Beijing Institute of Aerospace Information.
关键词
Cameras
Edge
detection
Frequency
domain
analysis
Image
reconstruction
Optical
resolving
power
Keywords
Cameras
Edge detection
Frequency domain analysis
Image reconstruction
Optical resolving power
分类号
TP391.41 [自动化与计算机技术—计算机应用技术]
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Frequency domain based super-resolution method for mixed-resolution multi-view images
Zhizhong Fu
yawei li
Yuan
li
Lan Ding
Keyu Long
《Journal of Systems Engineering and Electronics》
SCIE
EI
CSCD
2016
0
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