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University: University of Illinois – Urbana-Champaign

You searched for subject:(Image Reconstruction). Showing records 1 – 12 of 12 total matches.

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University of Illinois – Urbana-Champaign

1. Xu, Yiwen. Automated image-based 3D reconstruction system for precise plant modeling.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 Plant modeling has been an interesting topic in computer graphics for decades because of the growing demand for realistic plants in video games or movies.… (more)

Subjects/Keywords: Plant modeling; Object segmentation; Image-based modeling; Image reconstruction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xu, Y. (2017). Automated image-based 3D reconstruction system for precise plant modeling. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97704

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xu, Yiwen. “Automated image-based 3D reconstruction system for precise plant modeling.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/97704.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xu, Yiwen. “Automated image-based 3D reconstruction system for precise plant modeling.” 2017. Web. 17 Oct 2019.

Vancouver:

Xu Y. Automated image-based 3D reconstruction system for precise plant modeling. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/97704.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu Y. Automated image-based 3D reconstruction system for precise plant modeling. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97704

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

2. Zhang, Hengquan. Penalized maximum likelihood method for reducing limited-angle artifacts in image reconstructions for a dual-panel high-spatial-resolution pet system.

Degree: MS, Nuclear, Plasma, Radiolgc Engr, 2019, University of Illinois – Urbana-Champaign

 Whole-body positron emission tomography (PET) system has limited spatial resolution for imaging human head and neck cancer (HNC) due to the small size of lymph… (more)

Subjects/Keywords: Limited-angle artifacts; Positron emission tomography; Penalized maximum-likelihood image reconstruction

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APA (6th Edition):

Zhang, H. (2019). Penalized maximum likelihood method for reducing limited-angle artifacts in image reconstructions for a dual-panel high-spatial-resolution pet system. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104899

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Hengquan. “Penalized maximum likelihood method for reducing limited-angle artifacts in image reconstructions for a dual-panel high-spatial-resolution pet system.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/104899.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Hengquan. “Penalized maximum likelihood method for reducing limited-angle artifacts in image reconstructions for a dual-panel high-spatial-resolution pet system.” 2019. Web. 17 Oct 2019.

Vancouver:

Zhang H. Penalized maximum likelihood method for reducing limited-angle artifacts in image reconstructions for a dual-panel high-spatial-resolution pet system. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/104899.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang H. Penalized maximum likelihood method for reducing limited-angle artifacts in image reconstructions for a dual-panel high-spatial-resolution pet system. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104899

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

3. Sittig, Michael Glenn. Enhanced image-based 3D reconstruction with 2D-to-3D constraints.

Degree: MS, Computer Science, 2015, University of Illinois – Urbana-Champaign

 This paper discusses an improvement to the Mesh-Assisted Structure from Motion algorithm. Mesh-Assisted Structure from Motion is an improvement over the original Structure from Motion… (more)

Subjects/Keywords: Structure from Motion (sfm); mesh assisted structure from motion (mesh assisted sfm); reconstruction; image based 3d reconstruction

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APA (6th Edition):

Sittig, M. G. (2015). Enhanced image-based 3D reconstruction with 2D-to-3D constraints. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/89240

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sittig, Michael Glenn. “Enhanced image-based 3D reconstruction with 2D-to-3D constraints.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/89240.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sittig, Michael Glenn. “Enhanced image-based 3D reconstruction with 2D-to-3D constraints.” 2015. Web. 17 Oct 2019.

Vancouver:

Sittig MG. Enhanced image-based 3D reconstruction with 2D-to-3D constraints. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/89240.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sittig MG. Enhanced image-based 3D reconstruction with 2D-to-3D constraints. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/89240

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

4. Chu, Xinqi. Layout-aware mixture models for patch-based image representation and analysis.

Degree: PhD, 1200, 2015, University of Illinois – Urbana-Champaign

Image and video representation and modeling is an important topic in computer vision and image processing. An image model provides an abstraction of the large… (more)

Subjects/Keywords: computer vision; image recognition; image reconstruction; layout modelling image representation; discriminative models; generative models; latent variable models; colorization; joint detection and recognition; Expectation Maximization (EM)-Learning; image representation

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APA (6th Edition):

Chu, X. (2015). Layout-aware mixture models for patch-based image representation and analysis. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/72973

Chicago Manual of Style (16th Edition):

Chu, Xinqi. “Layout-aware mixture models for patch-based image representation and analysis.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/72973.

MLA Handbook (7th Edition):

Chu, Xinqi. “Layout-aware mixture models for patch-based image representation and analysis.” 2015. Web. 17 Oct 2019.

Vancouver:

Chu X. Layout-aware mixture models for patch-based image representation and analysis. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/72973.

Council of Science Editors:

Chu X. Layout-aware mixture models for patch-based image representation and analysis. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/72973


University of Illinois – Urbana-Champaign

5. Dinh, Quang S. Hardware acceleration for sparse Fourier image reconstruction.

Degree: MS, 1200, 2010, University of Illinois – Urbana-Champaign

 Several supercomputer vendors now offer reconfigurable computing (RC) systems, combining general-purpose processors with field-programmable gate arrays (FPGAs). The FPGAs can be configured as custom computing… (more)

Subjects/Keywords: Hardware Acceleration; Sparse Image Reconstruction; Field-Programmable Gate Array (FPGA); Reconfigurable Computing

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APA (6th Edition):

Dinh, Q. S. (2010). Hardware acceleration for sparse Fourier image reconstruction. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16848

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dinh, Quang S. “Hardware acceleration for sparse Fourier image reconstruction.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/16848.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dinh, Quang S. “Hardware acceleration for sparse Fourier image reconstruction.” 2010. Web. 17 Oct 2019.

Vancouver:

Dinh QS. Hardware acceleration for sparse Fourier image reconstruction. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/16848.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dinh QS. Hardware acceleration for sparse Fourier image reconstruction. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16848

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

6. Ravishankar, Saiprasad. Magnetic resonance image reconstruction from highly undersampled K-Space data using dictionary learning.

Degree: MS, 1200, 2011, University of Illinois – Urbana-Champaign

 Compressed sensing (CS) utilizes the sparsity of MR images to enable accurate reconstruction from undersampled k-space data. Recent CS methods have employed analytical sparsifying transforms… (more)

Subjects/Keywords: Magnetic resonance imaging; Image reconstruction; Compressed sensing; dictionary learning; sparse representation; reduced encoding.

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APA (6th Edition):

Ravishankar, S. (2011). Magnetic resonance image reconstruction from highly undersampled K-Space data using dictionary learning. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18630

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ravishankar, Saiprasad. “Magnetic resonance image reconstruction from highly undersampled K-Space data using dictionary learning.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/18630.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ravishankar, Saiprasad. “Magnetic resonance image reconstruction from highly undersampled K-Space data using dictionary learning.” 2011. Web. 17 Oct 2019.

Vancouver:

Ravishankar S. Magnetic resonance image reconstruction from highly undersampled K-Space data using dictionary learning. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/18630.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ravishankar S. Magnetic resonance image reconstruction from highly undersampled K-Space data using dictionary learning. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18630

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

7. Shemonski, Nathan D. In vivo human computed optical interferometric tomography.

Degree: PhD, 1200, 2015, University of Illinois – Urbana-Champaign

 This dissertation concerns the development of the fundamental theory, tools, and algorithms necessary to perform in vivo computed optical interferometric tomography. Computed imaging has made… (more)

Subjects/Keywords: Optical imaging; Optical coherence tomography; In vivo imaging; Tomography; Phase filter; Motion; Stability; Deconvolution; Image reconstruction; Defocus; Aberrations; 3D imaging

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shemonski, N. D. (2015). In vivo human computed optical interferometric tomography. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/73035

Chicago Manual of Style (16th Edition):

Shemonski, Nathan D. “In vivo human computed optical interferometric tomography.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/73035.

MLA Handbook (7th Edition):

Shemonski, Nathan D. “In vivo human computed optical interferometric tomography.” 2015. Web. 17 Oct 2019.

Vancouver:

Shemonski ND. In vivo human computed optical interferometric tomography. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/73035.

Council of Science Editors:

Shemonski ND. In vivo human computed optical interferometric tomography. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/73035


University of Illinois – Urbana-Champaign

8. Balali, Vahid. Image-based recognition, 3D localization, and retro-reflectivity evaluation of high-quantity low-cost roadway assets for enhanced condition assessment.

Degree: PhD, Civil Engineering, 2015, University of Illinois – Urbana-Champaign

 Systematic condition assessment of high-quantity low-cost roadway assets such as traffic signs, guardrails, and pavement markings requires frequent reporting on location and up-to-date status of… (more)

Subjects/Keywords: Image-based; Recognition, 3D Reconstruction; Localization; High-quantity; Low-cost; Roadway Assets; Traffic Sign; Retro-reflectivity; Condition Assessment

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APA (6th Edition):

Balali, V. (2015). Image-based recognition, 3D localization, and retro-reflectivity evaluation of high-quantity low-cost roadway assets for enhanced condition assessment. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90065

Chicago Manual of Style (16th Edition):

Balali, Vahid. “Image-based recognition, 3D localization, and retro-reflectivity evaluation of high-quantity low-cost roadway assets for enhanced condition assessment.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/90065.

MLA Handbook (7th Edition):

Balali, Vahid. “Image-based recognition, 3D localization, and retro-reflectivity evaluation of high-quantity low-cost roadway assets for enhanced condition assessment.” 2015. Web. 17 Oct 2019.

Vancouver:

Balali V. Image-based recognition, 3D localization, and retro-reflectivity evaluation of high-quantity low-cost roadway assets for enhanced condition assessment. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/90065.

Council of Science Editors:

Balali V. Image-based recognition, 3D localization, and retro-reflectivity evaluation of high-quantity low-cost roadway assets for enhanced condition assessment. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/90065


University of Illinois – Urbana-Champaign

9. Tuna, Cagdas. Tactile tomographic imaging using robotic whiskers.

Degree: PhD, 1200, 2014, University of Illinois – Urbana-Champaign

 Animals such as rats and seals sense through movement by oscillating their whiskers back and forth to extract environmental information including nearby object features and… (more)

Subjects/Keywords: Robotic Whiskers; Bio-inspired Signal Processing; Tactile Sensing; Tomography; Shape Recognition; Flow imaging; Inverse problem; Image Reconstruction

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APA (6th Edition):

Tuna, C. (2014). Tactile tomographic imaging using robotic whiskers. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49680

Chicago Manual of Style (16th Edition):

Tuna, Cagdas. “Tactile tomographic imaging using robotic whiskers.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/49680.

MLA Handbook (7th Edition):

Tuna, Cagdas. “Tactile tomographic imaging using robotic whiskers.” 2014. Web. 17 Oct 2019.

Vancouver:

Tuna C. Tactile tomographic imaging using robotic whiskers. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/49680.

Council of Science Editors:

Tuna C. Tactile tomographic imaging using robotic whiskers. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49680


University of Illinois – Urbana-Champaign

10. Lam, Fan. Motion compensation from limited data for reference-constrained image reconstruction.

Degree: MS, 1200, 2011, University of Illinois – Urbana-Champaign

 When reconstructing images from limited (or sparsely sampled) data, reference (or template) images are useful for constraining image reconstruction for various applications. However, in order… (more)

Subjects/Keywords: Reference-constrained image reconstruction; Motion compensation; Generalized series model; Sparse image; Compressed Sensing; Variable projection; Affine transformation; Free-form deformation; Cramer-Rao bound

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lam, F. (2011). Motion compensation from limited data for reference-constrained image reconstruction. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lam, Fan. “Motion compensation from limited data for reference-constrained image reconstruction.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/24111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lam, Fan. “Motion compensation from limited data for reference-constrained image reconstruction.” 2011. Web. 17 Oct 2019.

Vancouver:

Lam F. Motion compensation from limited data for reference-constrained image reconstruction. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/24111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lam F. Motion compensation from limited data for reference-constrained image reconstruction. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

11. Sharif, Behzad. Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction.

Degree: PhD, 1200, 2010, University of Illinois – Urbana-Champaign

 In this dissertation, we address several inverse problems associated with multi-channel sampling and reconstruction that pertain to parallel magnetic resonance imaging (pMRI). The first part… (more)

Subjects/Keywords: magnetic resonance; Magnetic resonance imaging (MRI); parallel magnetic resonance imaging (MRI); parallel imaging; dynamic magnetic resonance imaging (MRI); cardiac magnetic resonance imaging MRI; real-time magnetic resonance imaging MRI; image formation; nongated; model-based; patient-adaptive; k-t sampling; sensitivity encoding; multi-channel; filter banks; multi-rate systems; minimum filter length; frame theory; dual frame; oversampled; subsampled; generic; perfect reconstruction; perfect interpolation; multi-channel interpolation; distortion free; distortion optimal; aliasing free; self-calibrating; auto-calibrated; image reconstruction; blind identification; blind reconstruction; self calibration; Papoulis sampling; multi-channel sampling; aliasing error; geometric factor; equivalence class; lattice sampling; dual lattice; time-sequential; nonbandlimited; adaptive acquisition; sparse sampling; compressive sampling; spatio-temporal acquisition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sharif, B. (2010). Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/17056

Chicago Manual of Style (16th Edition):

Sharif, Behzad. “Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/17056.

MLA Handbook (7th Edition):

Sharif, Behzad. “Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction.” 2010. Web. 17 Oct 2019.

Vancouver:

Sharif B. Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/17056.

Council of Science Editors:

Sharif B. Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/17056


University of Illinois – Urbana-Champaign

12. Ravishankar, Saiprasad. Adaptive sparse representations and their applications.

Degree: PhD, Electrical & Computer Engr, 2014, University of Illinois – Urbana-Champaign

 The sparsity of signals and images in a certain transform domain or dictionary has been exploited in many applications in signal processing, image processing, and… (more)

Subjects/Keywords: Inverse problems; Computer vision; Classification; Structured overcomplete transform learning; Union of transforms; Overcomplete transform learning; Structured transforms; Convex formulation; Real-time applications; Big data; Online learning; Adaptive Sampling; Image reconstruction; Block Coordinate descent; Blind compressed sensing; Convergence guarantees; Efficient updates; Closed-form solutions; Machine learning; Nonconvex optimization; Alternating minimization; Doubly sparse transform learning; Square transform learning; Adaptive sparse models; Denoising; dictionary learning; Magnetic resonance imaging; Compressed sensing; Sparse representations; Sparsifying transform learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ravishankar, S. (2014). Adaptive sparse representations and their applications. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88322

Chicago Manual of Style (16th Edition):

Ravishankar, Saiprasad. “Adaptive sparse representations and their applications.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/88322.

MLA Handbook (7th Edition):

Ravishankar, Saiprasad. “Adaptive sparse representations and their applications.” 2014. Web. 17 Oct 2019.

Vancouver:

Ravishankar S. Adaptive sparse representations and their applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/88322.

Council of Science Editors:

Ravishankar S. Adaptive sparse representations and their applications. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/88322

.