scholarly journals Real-time image stabilization for arbitrary motion blurred image based on opto-electronic hybrid joint transform correlator

2011 ◽  
Vol 19 (11) ◽  
pp. 10762 ◽  
Author(s):  
Yixian Qian ◽  
Yong Li ◽  
Jie Shao ◽  
Hua Miao
Keyword(s):  
Real Time ◽  
Joint Transform Correlator ◽  
Image Stabilization ◽  
Hybrid Joint ◽  
Real Time Image ◽  
Blurred Image ◽  
Time Image

scholarly journals Real-Time Image Stabilization Method Based on Optical Flow and Binary Point Feature Matching

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 198 ◽  
Author(s):  
Zilong Deng ◽  
Dongxiao Yang ◽  
Xiaohu Zhang ◽  
Yuguang Dong ◽  
Chengbo Liu ◽  
...  
Keyword(s):  
Optical Flow ◽  
Real Time ◽  
Image Matching ◽  
Image Guidance ◽  
Feature Matching ◽  
Guidance System ◽  
Stabilization Method ◽  
Image Stabilization ◽  
Real Time Image ◽  
Time Image

The strap-down missile-borne image guidance system can be easily affected by the unwanted jitters of the motion of the camera, and the subsequent recognition and tracking functions are also influenced, thus severely affecting the navigation accuracy of the image guidance system. So, a real-time image stabilization technology is needed to help improve the image quality of the image guidance system. To satisfy the real-time and accuracy requirements of image stabilization in the strap-down missile-borne image guidance system, an image stabilization method based on optical flow and image matching with binary feature descriptors is proposed. The global motion of consecutive frames is estimated by the pyramid Lucas-Kanade (LK) optical flow algorithm, and the interval frames image matching based on fast retina keypoint (FREAK) algorithm is used to reduce the cumulative trajectory error. A Kalman filter is designed to smooth the trajectory, which is conducive to fitting to the main motion of the guidance system. Simulations have been carried out, and the results show that the proposed algorithm improves the accuracy and real-time performance simultaneously compared to the state-of-art algorithms.

Adaptive smoothing in real-time image stabilization

2012 ◽  
Author(s):  
Shunguang Wu ◽  
David C. Zhang ◽  
Yuzheng Zhang ◽  
James Basso ◽  
Michael Melle
Keyword(s):  
Real Time ◽  
Adaptive Smoothing ◽  
Image Stabilization ◽  
Real Time Image ◽  
Time Image

Real-time image stabilization using projection vector in one direcion

2002 ◽  
Author(s):  
Yubin Zhou ◽  
Yuejin Zhao ◽  
Yi Sun ◽  
Hai Lu ◽  
Feng Yu
Keyword(s):  
Real Time ◽  
Image Stabilization ◽  
Projection Vector ◽  
Real Time Image ◽  
Time Image

The Use of Real-Time Image Stabilization and Augmented Reality Eyewear in the Treatment of Oscillopsia

2012 ◽  
Vol 146 (6) ◽  
pp. 966-971 ◽  
Author(s):  
David D. Pothier ◽  
Cian Hughes ◽  
Wanda Dillon ◽  
Paul J. Ranalli ◽  
John A. Rutka
Keyword(s):  
Visual Acuity ◽  
Augmented Reality ◽  
Real Time ◽  
Head Movement ◽  
Dynamic Visual Acuity ◽  
Vestibular Loss ◽  
Image Stabilization ◽  
Bilateral Vestibular Loss ◽  
Real Time Image ◽  
Time Image

Objectives/Hypothesis. The symptom of oscillopsia in patients with bilateral vestibular loss (BVL) can be reduced as dynamic visual acuity (DVA), the reduction in visual acuity during head movement, is improved by using real-time image stabilization, delivered by augmented reality eyewear. Setting. Tertiary multidisciplinary neurotology clinic. Study Design. Prospective experimental study. Methods. Immersive virtual reality glasses used in combination with a compact digital video camera were used. A software algorithm was developed that used a center-weighted Lucas-Kanade optical flow method to stabilize video in real time. Six patients with BVL were tested for changes in DVA using the eyewear. The ability to read a Snellen chart during a 2-Hz oscillating head rotation DVA test was measured. Results. For combined scores of vertical and horizontal head rotations, the mean number of lines readable at rest was 7.86, which dropped to 2.77 with head movement (a combination of vertical and horizontal perturbations). This increased to a mean of 6.14 lines with the image stabilization software being activated. This difference was statistically significant ( P < .001). Conclusion. This is the first successful attempt to improve dynamic visual acuity in patients with bilateral vestibular loss. Recent hardware upgrades are promising in improving these results even further.

Embedding of a real time image stabilization algorithm on a parameterizable SoPC architecture a chip multi-processor approach

2011 ◽  
Vol 6 (1) ◽  
pp. 47-58 ◽  
Author(s):  
Lionel Damez ◽  
Loic Sieler ◽  
Alexis Landrault ◽  
Jean Pierre Dérutin
Keyword(s):  
Real Time ◽  
Image Stabilization ◽  
Real Time Image ◽  
Time Image
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