Motion-based motion deblurring

By Moshe Ben-Ezra, Shree K. Nayar. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004

513 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/d1a470b1ecaf860f3783a950d441f9be42cae6e4

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In Computer Vision and Pattern Recognition

Citations in the corpus

Single Image Deblurring Using Motion Density Functions (2010, background): “In most recent work, image blur is modeled as the convolution of an unobserved latent image with a single, spatially invariant blur kernel [1,2,3,4,5,6, 7 ,8,9,10,11].”
Coded exposure photography: motion deblurring using fluttered shutter (2006, methodology): “An ultrasound sensor or an auxiliary low resolution camera [Ben-Ezra and Nayar 2004] can trigger fluttering by detecting and measuring object motion.”
Richardson-Lucy Deblurring for Scenes under a Projective Motion Path (2011, methodology): “6.1 Auxiliary Hardware or Imaging Modifications A direct method to estimate camera motion in terms of homographies during the exposure is to use a hybrid camera [ 4 ], [28] that captures an auxiliary high-frame-rate low-resolution video.”
Blind Motion Deblurring Using Image Statistics (2006, methodology): “The box filters model used in this work is definitely limiting, and as pointed out by [12, 6], many blurring patterns observed in real images are more complex.”
Removing Camera Shake from a Single Photograph (2009, methodology): “Hardware approaches include: optically stabilized lenses [Canon Inc. 2006], specially designed CMOS sensors [Liu and Gamal 2001], and hybrid imaging systems [Ben-Ezra and Nayar 2004].”
Blind motion deblurring from a single image using sparse approximation (2009, background): “To solve more complex motion blurring, multi-image based approaches have been proposed to obtain more information of the blur kernel by either actively or passively capturing multiple images on the scene (e.g., Bascle et al. [2], Ben-Ezra and Nayar [3], Chen et al. [10], Lu et al. [19], Raskar [23],”
Full-frame video stabilization with motion inpainting (2006, methodology): “One exception is Ben-Ezra and Nayar’s method [ 23 ] which explicitly measures motion PSFs with a special hardware to avoid difficulty in PSF estimation.”
Image deblurring and denoising using color priors (2009, methodology): “To address image deblurring, some researchers have modified the image capture process [ 3 ] or used multiple images [2, 22] to aid in deblurring.”
Single Image Motion Deblurring Using Transparency (2007, background): “In [ 1 ], a high-resolution still image camera and a low-resolution video camera are connected where the low-resolution video camera is used to estimate the PSF.”