Platform motion blur image restoration system

Olivas, Stephen J.; Šorel, Michal; Ford, Joseph E.

doi:10.1364/ao.51.008246

Cited by 12 publications

(3 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, reference [ 32 ] proposed a system to measure image motion using a position sensitive detector (PSD), which depends on a strong point light source placed around the object to be photographed. Reference [ 33 ] measured image motion using inertial measurement sensors, but the line of sight could not be measured directly.…”

Section: Introductionmentioning

confidence: 99%

Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser

Ronggang

Wang

Jin

et al. 2021

Sensors

View full text Add to dashboard Cite

Satellites have many high-, medium-, and low-frequency micro vibration sources that lead to the optical axis jitter of the optical load and subsequently degrade the remote sensing image quality. To address this problem, this paper developed an image motion detection and restoration method based on an inertial reference laser, and describe edits principle and key components. To verify the feasibility and performance of this method, this paper also built an image motion measurement and restoration system based on an inertial reference laser, which comprised a camera (including the inertial reference laser unit and a Hartmann wavefront sensor), an integrating sphere, a simulated image target, a parallel light pope, a vibration isolation platform, a vibration generator, and a 6 degrees of freedom platform. The image restoration principle was also described. The background noise in the experiment environment was measured, and an image motion measurement accuracy experiment was performed. Verification experiments of image restoration were also conducted under various working conditions. The experiment results showed that the error of image motion detection based on the inertial reference laser was less than 0.12 pixels (root mean square). By using image motion data to improve image quality, the modulation transfer function (MTF) of the restored image was increased to 1.61–1.88 times that of the original image MTF. The image motion data could be used as feedback to the fast steering mirror to compensate for the satellite jitter in real time and to directly obtain high-quality images.

show abstract

Section: Introductionmentioning

confidence: 99%

Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser

Ronggang

Wang

Jin

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Gupta et al demonstrated a co-located camera-projector system that could enable fast per-pixel temporal modulation [ 19 ]. Olivas et al had proposed a computational imaging system based on position sensing detector (PSD) to reconstruct images degraded by spatially variant platforms in low-light conditions [ 20 ]. In order to perform temporal super resolution, Reddy et al had designed a reconstruction algorithm that used the data from a programmable pixel compressive camera (P2C2) along with additional priors [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Per-Pixel Coded Exposure for High-Speed and High-Resolution Imaging Using a Digital Micromirror Device Camera

Feng

Zhang

et al. 2016

Sensors

View full text Add to dashboard Cite

High-speed photography is an important tool for studying rapid physical phenomena. However, low-frame-rate CCD (charge coupled device) or CMOS (complementary metal oxide semiconductor) camera cannot effectively capture the rapid phenomena with high-speed and high-resolution. In this paper, we incorporate the hardware restrictions of existing image sensors, design the sampling functions, and implement a hardware prototype with a digital micromirror device (DMD) camera in which spatial and temporal information can be flexibly modulated. Combined with the optical model of DMD camera, we theoretically analyze the per-pixel coded exposure and propose a three-element median quicksort method to increase the temporal resolution of the imaging system. Theoretically, this approach can rapidly increase the temporal resolution several, or even hundreds, of times without increasing bandwidth requirements of the camera. We demonstrate the effectiveness of our method via extensive examples and achieve 100 fps (frames per second) gain in temporal resolution by using a 25 fps camera.

show abstract

“…In order to get a satisfying image, many blind image deblurring methods have been proposed [1], [2], [3], [4], [5] to deal with the camera shaking problem, which can be roughly divided into single image deblurring methods and multiple images deblurring ones.…”

Section: Introductionmentioning

confidence: 99%

Joint Motion Deblurring with Blurred/Noisy Image Pair

Zhang

Sun

et al. 2014

2014 22nd International Conference on Pattern Recognition

View full text Add to dashboard Cite

Motion blurred images are widely existing when using a hand-held camera especially under the dim lighting conditions. Since edge information contained in the noisy image may be blurred by the motion blur, a blurred/noisy image pair captured under different exposure time can help to restore a sharp image. In the traditional deblurring methods based on blurred/noisy image pair, the deblurring process is in series with the denoising process, so that restoration result is sensitive to the denoised result. In this paper, we propose a robust algorithm to obtain the sharp image by fusing the blurred image and noisy image. By joint modeling the deblurring model and denoising model, the restoration result can be optimized via estimating the sharp image and blur kernel alternately in the proposed methods, and it is not sensitive to the denoised result benefited by the joint model. Experimental results demonstrated that the proposed method can achieve better performance compared with the state-of-the-art single image denoising methods, single image deblurring methods and blurred/noisy pair deblurring methods.

show abstract

Platform motion blur image restoration system

Cited by 12 publications

References 40 publications

Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser

Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser

Per-Pixel Coded Exposure for High-Speed and High-Resolution Imaging Using a Digital Micromirror Device Camera

Joint Motion Deblurring with Blurred/Noisy Image Pair

Contact Info

Product

Resources

About