Combined exposure computational imaging system and image restoration method

2021 ◽  
Vol 29 (2) ◽  
pp. 452-462
Author(s):  
Xiao-tian WU ◽  
◽  
Bo LÜ ◽  
Bo LIU ◽  
Hang YANG ◽  
...  
Keyword(s):  
Image Restoration ◽  
Imaging System ◽  
Computational Imaging ◽  
Combined Exposure ◽  
Restoration Method

Deep Learning Based Image Restoration Method of Optical Synthetic Aperture Imaging System

2020 ◽  
Vol 40 (21) ◽  
pp. 2111001
Author(s):  
唐雎 Tang Ju ◽  
王凯强 Wang Kaiqiang ◽  
张维 Zhang Wei ◽  
吴小龑 Wu Xiaoyan ◽  
刘国栋 Liu Guodong ◽  
...  
Keyword(s):  
Deep Learning ◽  
Image Restoration ◽  
Imaging System ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging ◽  
Restoration Method

scholarly journals Multi-frame image restoration method for novel rotating synthetic aperture imaging system

2021 ◽  
Vol 23 ◽  
pp. 103991
Author(s):  
Xiyang Zhi ◽  
Shikai Jiang ◽  
Lei Zhang ◽  
Jianming Hu ◽  
Lijian Yu ◽  
...  
Keyword(s):  
Image Restoration ◽  
Imaging System ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging ◽  
Restoration Method

scholarly journals Optical Aberration Calibration and Correction of Photographic System Based on Wavefront Coding

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4011
Author(s):  
Chuanwei Yao ◽  
Yibing Shen
Keyword(s):  
Imaging System ◽  
Optical Design ◽  
Computational Imaging ◽  
Large Field ◽  
Wavefront Aberration ◽  
Imaging Method ◽  
Image Deconvolution ◽  
Pupil Function ◽  
Wavefront Coding ◽  
Blurred Images

The image deconvolution technique can recover potential sharp images from blurred images affected by aberrations. Obtaining the point spread function (PSF) of the imaging system accurately is a prerequisite for robust deconvolution. In this paper, a computational imaging method based on wavefront coding is proposed to reconstruct the wavefront aberration of a photographic system. Firstly, a group of images affected by local aberration is obtained by applying wavefront coding on the optical system’s spectral plane. Then, the PSF is recovered accurately by pupil function synthesis, and finally, the aberration-affected images are recovered by image deconvolution. After aberration correction, the image’s coefficient of variation and mean relative deviation are improved by 60% and 30%, respectively, and the image can reach the limit of resolution of the sensor, as proved by the resolution test board. Meanwhile, the method’s robust anti-noise capability is confirmed through simulation experiments. Through the conversion of the complexity of optical design to a post-processing algorithm, this method offers an economical and efficient strategy for obtaining high-resolution and high-quality images using a simple large-field lens.

scholarly journals Design and Analysis of a W-Band Metasurface-Based Computational Imaging System

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 9911-9918 ◽  
Author(s):  
Tomas Zvolensky ◽  
Jonah N. Gollub ◽  
Daniel L. Marks ◽  
David R. Smith
Keyword(s):  
Imaging System ◽  
Computational Imaging ◽  
W Band

scholarly journals Imaging Characteristics and Image Restoration Method for Large Field Circular Scanning System

2021 ◽  
pp. 104884
Author(s):  
Xiyang Zhi ◽  
Shuqing Zhang ◽  
Fulin Yu ◽  
Shikai Jiang ◽  
Jianming Hu ◽  
...  
Keyword(s):  
Image Restoration ◽  
Large Field ◽  
Scanning System ◽  
Imaging Characteristics ◽  
Restoration Method

scholarly journals Frequency-Diverse Holographic Metasurface Antenna for Near-Field Microwave Computational Imaging

2021 ◽  
Vol 8 ◽  
Author(s):  
Jiaqi Han ◽  
Long Li ◽  
Shuncheng Tian ◽  
Xiangjin Ma ◽  
Qiang Feng ◽  
...  
Keyword(s):  
Frequency Domain ◽  
Imaging System ◽  
Near Field ◽  
Horn Antenna ◽  
Computational Imaging ◽  
Simulation Studies ◽  
Field Patterns ◽  
Full Wave ◽  
Imaging Reconstruction ◽  
Iterative Shrinkage

This article presents a holographic metasurface antenna with stochastically distributed surface impedance, which produces randomly frequency-diverse radiation patterns. Low mutual coherence electric field patterns generated by the holographic metasurface antenna can cover the K-band from 18 to 26 GHz with 0.1 GHz intervals. By utilizing the frequency-diverse holographic metasurface (FDHM) antenna, we build a near-field microwave computational imaging system based on reflected signals in the frequency domain. A standard horn antenna is adopted to acquire frequency domain signals radiated from the proposed FDHM antenna. A detail imaging restoration process is presented, and the desired targets are correctly reconstructed using the 81 frequency-diverse patterns through full-wave simulation studies. Compressed sensing technique and iterative shrinkage/thresholding algorithms are applied for the imaging reconstruction. The achieved compressive ratio of this computational imaging system on the physical layer is 30:1.

Faxed document image restoration method based on local pixel patterns

1998 ◽  
Author(s):  
Teruo Akiyama ◽  
Nobuo Miyamoto ◽  
Masami Oguro ◽  
Kenji Ogura
Keyword(s):  
Image Restoration ◽  
Document Image ◽  
Restoration Method
Sign in / Sign up

Export Citation Format

Share Document