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Proximal Algorithms for Multicomponent Image Recovery Problems

Journal of Mathematical Imaging and Vision, 2010
International audienceIn recent years, proximal splitting algorithms have been applied to various monocomponent signal and image recovery problems. In this paper, we address the case of multicomponent problems.
Luis M Briceño-Arias, Patrick L Combettes, J -C Pesquet   +2 more
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Recovery of planetary images by speckle imaging

Applied Optics, 1992
Limits to the recovery of planetary images by speckle imaging were investigated by means of a numerical simulation of the image-forming process. Laboratory measurements established that the numerical model correctly represented the process. With this numerical model we studied the observing conditions required to obtain useful planetary data for ...
J W, Beletic, R M, Goody
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Stroke Recovery and Its Imaging

Neuroimaging Clinics of North America, 2005
Functional imaging of stroke recovery is a unique source of information that might be useful in the development of restorative treatments. Several features of brain function change spontaneously after stroke. Current studies define many of the most common events.
Craig D, Takahashi, Lucy, Der Yeghiaian, Steven C, Cramer   +2 more
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Cluster ZTP in the recovery of an image

Pattern Recognition Letters, 1997
Abstract Cluster ZTP (zero-temperature process) is proposed as a method of image recovery and examined for 8-valued images. The cluster ZTP is an iterative algorithm for the search of an approximately optimal solution of an energy minimization problem.
Tohru Morita, Kazuyuki Tanaka
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Signal recovery in imaging photoplethysmography

Physiological Measurement, 2013
Imaging photoplethysmography is an emerging technique for the extraction of biometric information from people using video recordings. The focus is on extracting the cardiac heart rate of the subject by analysing the luminance of the colour video signal and identifying periodic components.
Benjamin D, Holton, Kavan, Mannapperuma, Peter J, Lesniewski, John C, Thomas   +3 more
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Image Recovery Based on Effective Image Completion

2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2008
Exemplar-based inpainting algorithm is a model used for large region removal. It combines the advantages of both inpainting and texture synthesis. This algorithm usually requires large amounts of computational cost for priority calculation and matching iteratively.
Chung Ming Kuo, Nai-Chung Yang, Wei-Han Chang, Chi-Lin Wu   +3 more
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Image recovery of ghost imaging with sparse spatial frequencies

Optics Letters, 2020
When the spatial frequencies of the object are insufficiently sampled, the reconstruction of ghost imaging will suffer from repetitive visual artifacts, which cannot be effectively tackled by existing ghost imaging reconstruction techniques. In this Letter, extensions of the CLEAN algorithm applied in ghost imaging are explored to eliminate those ...
Dongyue Yang, Guohua Wu, Junhui Li, Chen Chang, Bin Luo, Huizu Lin, Shuai Sun, Yaokun Xu, Longfei Yin   +8 more
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SPECT imaging with resolution recovery

2011 2nd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and their Applications, 2011
Single-photon emission computed tomography (SPECT) is a method of choice for imaging spatial distributions of radioisotopes. Applications of this method are found in medicine, biomedical research and nuclear industry. This paper deals with improving spatial resolution in SPECT by applying correction for the point-spread function (PSF) in the ...
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Error recovery in JPEG2000 image transmission

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
In this paper, the problem of bit-errors recovery in JPEG2000 images transmission is addressed, with particular attention to errors in the high-frequency components. In the HL and LH sub-bands, differently from the LL band, interpolation based recovering results tend to be often ineffective when more than a few adjacent wavelet coefficients are missing.
ATZORI, LUIGI, S. CORONA, D. D. GIUSTO
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Content-Based Image Recovery

2018
We propose an interesting challenge: recovering from aspect-ratio distorted images based on their contents. Given a distorted image, we want to construct a model to predict its original aspect ratio. Since this is a general task, we build a database on top of Pascal VOC datasets.
Hong-Yu Zhou, Jianxin Wu 0001
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