scholarly journals Restoration of Temporal Image Sequence from a Single Image Captured by a Correlation Image Sensor

2017 ◽  
Author(s):  
Kohei Kawade ◽  
Akihiro Wakita ◽  
Tastuya Yokota ◽  
Hidekata Hontani ◽  
Shigeru Ando
Keyword(s):  
Image Sequence ◽  
Image Sensor ◽  
Single Image ◽  
Correlation Image

5239266 MRI using variable imaging parameter(s) within a single image sequence

1994 ◽  
Vol 12 (5) ◽  
pp. XI ◽  
Author(s):  
Leon Kaufman ◽  
David M Kramer ◽  
John M Coleman
Keyword(s):  
Image Sequence ◽  
Single Image ◽  
Imaging Parameter

scholarly journals Transmission Estimation by Complex Assumption with Occlusion Handling

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Jiantao Liu ◽  
Xiaoxiang Yang ◽  
Mingzhu Zhu ◽  
Bingwei He
Keyword(s):  
Optimal Solution ◽  
Image Sensor ◽  
Natural Images ◽  
Single Image ◽  
Occlusion Handling ◽  
Image Dehazing ◽  
Haze Removal ◽  
Dark Channel ◽  
Transmission Estimation ◽  
Single Image Dehazing

Transmission estimation is a critical step in single-image dehazing. The estimate of each pixel describes the portion of the scene radiance that is degraded by hazing and finally reaches the image sensor. Transmission estimation is an underconstrained problem, and, thus, various assumptions, priors, and models are employed to make it solvable. However, most of the previous methods did not consider the different assumptions simultaneously, which, therefore, did not correctly reflect the previous assumptions in the final result. This paper focuses on this problem and proposes a method using an energy function that clearly defines the optimal transmission map and combines the assumptions from three aspects: fidelity, smoothness, and occlusion handling, simultaneously. Fidelity is measured by a novel principle derived from the dark channel prior, smoothness is described by the assumption of piecewise smoothening, and occlusion handling is achieved based on a new proposed feature. The transmissions are estimated by searching for the optimal solution of the function that can retain all the employed assumptions simultaneously. The proposed method is evaluated on the synthetic images of two datasets and various natural images. The results show that there is remarkable fidelity and smoothness in the transmission and that a good performance is exhibited for haze removal.

scholarly journals Robust Optical Spatial Localization Using a Single Image Sensor

2019 ◽  
Vol 3 (6) ◽  
pp. 1-4 ◽  
Author(s):  
Ivan White ◽  
Deva K. Borah ◽  
Wei Tang
Keyword(s):  
Spatial Localization ◽  
Image Sensor ◽  
Single Image

Spectral matching imager using correlation image sensor and variable-wavelength illumination

2002 ◽  
Author(s):  
Akira Kimachi ◽  
Toshihide Imaizumi ◽  
Ai Kato ◽  
Shigeru Ando
Keyword(s):  
Image Sensor ◽  
Spectral Matching ◽  
Correlation Image
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