A hybrid alternating proximal method for blind video restoration. Abboud, F., Chouzenoux, E., Pesquet, J. -., Chenot, J. -., & Laborelli, L. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 1811-1815, Sep., 2014.
Paper abstract bibtex Old analog television sequences suffer from a number of degradations. Some of them can be modeled through convolution with a kernel and an additive noise term. In this work, we propose a new blind deconvolution algorithm for the restoration of such sequences based on a variational formulation of the problem. Our method accounts for motion between frames, while enforcing some level of temporal continuity through the use of a novel penalty function involving optical flow operators, in addition to an edge-preserving regularization. The optimization process is performed by a proximal alternating minimization scheme benefiting from theoretical convergence guarantees. Simulation results on synthetic and real video sequences confirm the effectiveness of our method.
@InProceedings{6952662,
author = {F. Abboud and E. Chouzenoux and J. -. Pesquet and J. -. Chenot and L. Laborelli},
booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
title = {A hybrid alternating proximal method for blind video restoration},
year = {2014},
pages = {1811-1815},
abstract = {Old analog television sequences suffer from a number of degradations. Some of them can be modeled through convolution with a kernel and an additive noise term. In this work, we propose a new blind deconvolution algorithm for the restoration of such sequences based on a variational formulation of the problem. Our method accounts for motion between frames, while enforcing some level of temporal continuity through the use of a novel penalty function involving optical flow operators, in addition to an edge-preserving regularization. The optimization process is performed by a proximal alternating minimization scheme benefiting from theoretical convergence guarantees. Simulation results on synthetic and real video sequences confirm the effectiveness of our method.},
keywords = {deconvolution;image restoration;image sequences;hybrid alternating proximal method;blind video restoration;blind deconvolution algorithm;temporal continuity;penalty function;optical flow operators;edge-preserving regularization;video sequences;Kernel;Image restoration;Minimization;Deconvolution;Video sequences;Convergence;Optimization;Blind deconvolution;video processing;optical flow;proximal algorithms;convex optimization;regularization},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925381.pdf},
}
Downloads: 0
{"_id":"fiyxAmjRhLy7aNMta","bibbaseid":"abboud-chouzenoux-pesquet-chenot-laborelli-ahybridalternatingproximalmethodforblindvideorestoration-2014","authorIDs":[],"author_short":["Abboud, F.","Chouzenoux, E.","Pesquet, J. -.","Chenot, J. -.","Laborelli, L."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["F."],"propositions":[],"lastnames":["Abboud"],"suffixes":[]},{"firstnames":["E."],"propositions":[],"lastnames":["Chouzenoux"],"suffixes":[]},{"firstnames":["J.","-."],"propositions":[],"lastnames":["Pesquet"],"suffixes":[]},{"firstnames":["J.","-."],"propositions":[],"lastnames":["Chenot"],"suffixes":[]},{"firstnames":["L."],"propositions":[],"lastnames":["Laborelli"],"suffixes":[]}],"booktitle":"2014 22nd European Signal Processing Conference (EUSIPCO)","title":"A hybrid alternating proximal method for blind video restoration","year":"2014","pages":"1811-1815","abstract":"Old analog television sequences suffer from a number of degradations. Some of them can be modeled through convolution with a kernel and an additive noise term. In this work, we propose a new blind deconvolution algorithm for the restoration of such sequences based on a variational formulation of the problem. Our method accounts for motion between frames, while enforcing some level of temporal continuity through the use of a novel penalty function involving optical flow operators, in addition to an edge-preserving regularization. The optimization process is performed by a proximal alternating minimization scheme benefiting from theoretical convergence guarantees. Simulation results on synthetic and real video sequences confirm the effectiveness of our method.","keywords":"deconvolution;image restoration;image sequences;hybrid alternating proximal method;blind video restoration;blind deconvolution algorithm;temporal continuity;penalty function;optical flow operators;edge-preserving regularization;video sequences;Kernel;Image restoration;Minimization;Deconvolution;Video sequences;Convergence;Optimization;Blind deconvolution;video processing;optical flow;proximal algorithms;convex optimization;regularization","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925381.pdf","bibtex":"@InProceedings{6952662,\n author = {F. Abboud and E. Chouzenoux and J. -. Pesquet and J. -. Chenot and L. Laborelli},\n booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},\n title = {A hybrid alternating proximal method for blind video restoration},\n year = {2014},\n pages = {1811-1815},\n abstract = {Old analog television sequences suffer from a number of degradations. Some of them can be modeled through convolution with a kernel and an additive noise term. In this work, we propose a new blind deconvolution algorithm for the restoration of such sequences based on a variational formulation of the problem. Our method accounts for motion between frames, while enforcing some level of temporal continuity through the use of a novel penalty function involving optical flow operators, in addition to an edge-preserving regularization. The optimization process is performed by a proximal alternating minimization scheme benefiting from theoretical convergence guarantees. Simulation results on synthetic and real video sequences confirm the effectiveness of our method.},\n keywords = {deconvolution;image restoration;image sequences;hybrid alternating proximal method;blind video restoration;blind deconvolution algorithm;temporal continuity;penalty function;optical flow operators;edge-preserving regularization;video sequences;Kernel;Image restoration;Minimization;Deconvolution;Video sequences;Convergence;Optimization;Blind deconvolution;video processing;optical flow;proximal algorithms;convex optimization;regularization},\n issn = {2076-1465},\n month = {Sep.},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925381.pdf},\n}\n\n","author_short":["Abboud, F.","Chouzenoux, E.","Pesquet, J. -.","Chenot, J. -.","Laborelli, L."],"key":"6952662","id":"6952662","bibbaseid":"abboud-chouzenoux-pesquet-chenot-laborelli-ahybridalternatingproximalmethodforblindvideorestoration-2014","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925381.pdf"},"keyword":["deconvolution;image restoration;image sequences;hybrid alternating proximal method;blind video restoration;blind deconvolution algorithm;temporal continuity;penalty function;optical flow operators;edge-preserving regularization;video sequences;Kernel;Image restoration;Minimization;Deconvolution;Video sequences;Convergence;Optimization;Blind deconvolution;video processing;optical flow;proximal algorithms;convex optimization;regularization"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2014url.bib","creationDate":"2021-02-13T17:43:41.735Z","downloads":0,"keywords":["deconvolution;image restoration;image sequences;hybrid alternating proximal method;blind video restoration;blind deconvolution algorithm;temporal continuity;penalty function;optical flow operators;edge-preserving regularization;video sequences;kernel;image restoration;minimization;deconvolution;video sequences;convergence;optimization;blind deconvolution;video processing;optical flow;proximal algorithms;convex optimization;regularization"],"search_terms":["hybrid","alternating","proximal","method","blind","video","restoration","abboud","chouzenoux","pesquet","chenot","laborelli"],"title":"A hybrid alternating proximal method for blind video restoration","year":2014,"dataSources":["A2ezyFL6GG6na7bbs","oZFG3eQZPXnykPgnE"]}