30,128 research outputs found
Sparse MRI for motion correction
MR image sparsity/compressibility has been widely exploited for imaging
acceleration with the development of compressed sensing. A sparsity-based
approach to rigid-body motion correction is presented for the first time in
this paper. A motion is sought after such that the compensated MR image is
maximally sparse/compressible among the infinite candidates. Iterative
algorithms are proposed that jointly estimate the motion and the image content.
The proposed method has a lot of merits, such as no need of additional data and
loose requirement for the sampling sequence. Promising results are presented to
demonstrate its performance.Comment: To appear in Proceedings of ISBI 2013. 4 pages, 1 figur
Recent Progress in Image Deblurring
This paper comprehensively reviews the recent development of image
deblurring, including non-blind/blind, spatially invariant/variant deblurring
techniques. Indeed, these techniques share the same objective of inferring a
latent sharp image from one or several corresponding blurry images, while the
blind deblurring techniques are also required to derive an accurate blur
kernel. Considering the critical role of image restoration in modern imaging
systems to provide high-quality images under complex environments such as
motion, undesirable lighting conditions, and imperfect system components, image
deblurring has attracted growing attention in recent years. From the viewpoint
of how to handle the ill-posedness which is a crucial issue in deblurring
tasks, existing methods can be grouped into five categories: Bayesian inference
framework, variational methods, sparse representation-based methods,
homography-based modeling, and region-based methods. In spite of achieving a
certain level of development, image deblurring, especially the blind case, is
limited in its success by complex application conditions which make the blur
kernel hard to obtain and be spatially variant. We provide a holistic
understanding and deep insight into image deblurring in this review. An
analysis of the empirical evidence for representative methods, practical
issues, as well as a discussion of promising future directions are also
presented.Comment: 53 pages, 17 figure
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