Joint Motion Deblurring with Blurred/Noisy Image Pair

2014 ◽  
Author(s):  
Haisen Li ◽  
Yanning Zhang ◽  
Jinqiu Sun ◽  
Dong Gong
Keyword(s):  
Joint Motion ◽  
Noisy Image ◽  
Image Pair ◽  
Motion Deblurring

Motion deblurring using edge map with blurred/noisy image pairs

2012 ◽  
Vol 285 (7) ◽  
pp. 1777-1786 ◽  
Author(s):  
Ser-Hoon Lee ◽  
Hyung-Min Park ◽  
Sun-Young Hwang
Keyword(s):  
Noisy Image ◽  
Motion Deblurring ◽  
Image Pairs

scholarly journals Blur Removal Via Blurred-Noisy Image Pair

2021 ◽  
Vol 30 ◽  
pp. 345-359
Author(s):  
Chunzhi Gu ◽  
Xuequan Lu ◽  
Ying He ◽  
Chao Zhang
Keyword(s):  
Noisy Image ◽  
Image Pair ◽  
Blur Removal

Image-pair-based deblurring with spatially varying norms and noisy image updating

2013 ◽  
Vol 24 (8) ◽  
pp. 1303-1315 ◽  
Author(s):  
Chang-Hwan Son ◽  
Hyunseung Choo ◽  
Hyung-Min Park
Keyword(s):  
Noisy Image ◽  
Image Pair ◽  
Spatially Varying

scholarly journals Joint Motion Deblurring and Superresolution from Single Blurry Image

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Linyang He ◽  
Gang Li ◽  
Jinghong Liu
Keyword(s):  
Real Life ◽  
Kernel Estimation ◽  
Motion Blur ◽  
Joint Motion ◽  
Edge Preserving ◽  
Motion Deblurring ◽  
Blur Kernel Estimation ◽  
Blurred Image ◽  
Ill Posed ◽  
Sparse Kernel

Currently superresolution from a motion blurred image still remains a challenging task. The conventional approach, which preprocesses the blurry low resolution (LR) image with a deblurring algorithm and employs a superresolution algorithm, has the following limitation. The high frequency texture of the image is unavoidably lost in the deblurring process and this loss restricts the performance of the subsequent superresolution process. This paper presents a novel technique that performs motion deblurring and superresolution jointly from one single blurry image. The basic idea is to regularize the ill-posed reconstruction problem using an edge-preserving gradient prior and a sparse kernel prior. This method derives from an inverse problem approach under an efficient optimization scheme that alternates between blur kernel estimation and superresolving until convergence. Furthermore, this paper proposes a simple and efficient refinement formulation to remove artifacts and render better deblurred high resolution (HR) images. The improvements brought by the proposed combined framework are demonstrated by the processing results of both simulated and real-life images. Quantitative and qualitative results on challenging examples show that the proposed method outperforms the existing state-of-the-art methods and effectively eliminates motion blur and artifacts in the superresolved image.

Clinical Update: Measuring Shoulder Joint Motion

1998 ◽  
Vol 3 (5) ◽  
pp. 4-5
Author(s):  
Christopher R. Brigham
Keyword(s):  
External Rotation ◽  
Joint Motion ◽  
Fourth Edition ◽  
Single Plane ◽  
Reconstructive Procedures ◽  
Results Of Treatment ◽  
Shoulder Disorders ◽  
Shoulder Motion ◽  
Motion Measurements ◽  
Upper Extremity Impairment

Abstract Accurate measurement of shoulder motion is critical in assessing impairment following shoulder disorders. To this end, measuring and recording joint motion are important steps in diagnosing, determining the severity and progression of a disorder, assessing the results of treatment, and evaluating impairment. Shoulder movement usually is composite rather than in a single plane, so isolating single movements is challenging. Universal goniometers with long arms are used to measure shoulder motion, and testing must be performed and recorded consistently. Passive motion may be carried out cautiously by the examiner; two measurements of the same patient by the same examiner should lie within 10° of each other. Shoulder extension and flexion are illustrated. Maximal flexion of the shoulder also includes slight external rotation and abduction, and controlling or eliminating these components during evaluation is challenging. Abduction and adduction are illustrated. Deficits in external rotation may occur in patients who have undergone reconstructive procedures with an anterior approach; deficits in internal rotation may result from issues with shoulder instability. The authors recommend recording the shoulder's range of motion measurements according to the Upper Extremity Impairment Evaluation Record in the AMA Guides to the Evaluation of Permanent Impairment, Fourth Edition.

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