{"_id":"3CTNWBWHusmmNP3Ww","bibbaseid":"katsaggelos-biemond-mersereau-schafer-ageneralformulationofconstrainediterativerestorationalgorithms-1985","author_short":["Katsaggelos, A.","Biemond, J.","Mersereau, R.","Schafer, R."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","abstract":"A general formulation of constrained iterative restoration algorithms is introduced in which deterministic and/or statistical information about the undistorted signal and statistical information about the noises are directly incorporated into the iterative procedure. This a priori information is incorporated into the restoration algorithm by what is called 'soft' or statistical constraints. Their effect on the solution depends on the amount of noise on the data; that is, the constraint operator is 'turned off' for noiseless data. The development of the new iterative algorithm is based on results from regularization techniques for stabilizing ill-posed problems.","author":[{"propositions":[],"lastnames":["Katsaggelos"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Biemond"],"firstnames":["J."],"suffixes":[]},{"propositions":[],"lastnames":["Mersereau"],"firstnames":["R."],"suffixes":[]},{"propositions":[],"lastnames":["Schafer"],"firstnames":["R."],"suffixes":[]}],"booktitle":"ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing","doi":"10.1109/ICASSP.1985.1168356","issn":"07367791","organization":"IEEE","pages":"700–703","publisher":"Institute of Electrical and Electronics Engineers","title":"A general formulation of constrained iterative restoration algorithms","url":"http://ieeexplore.ieee.org/document/1168356/","volume":"10","year":"1985","bibtex":"@inproceedings{katsaggelos1985general,\nabstract = {A general formulation of constrained iterative restoration algorithms is introduced in which deterministic and/or statistical information about the undistorted signal and statistical information about the noises are directly incorporated into the iterative procedure. This a priori information is incorporated into the restoration algorithm by what is called 'soft' or statistical constraints. Their effect on the solution depends on the amount of noise on the data; that is, the constraint operator is 'turned off' for noiseless data. The development of the new iterative algorithm is based on results from regularization techniques for stabilizing ill-posed problems.},\nauthor = {Katsaggelos, A. and Biemond, J. and Mersereau, R. and Schafer, R.},\nbooktitle = {ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing},\ndoi = {10.1109/ICASSP.1985.1168356},\nissn = {07367791},\norganization = {IEEE},\npages = {700--703},\npublisher = {Institute of Electrical and Electronics Engineers},\ntitle = {{A general formulation of constrained iterative restoration algorithms}},\nurl = {http://ieeexplore.ieee.org/document/1168356/},\nvolume = {10},\nyear = {1985}\n}\n","author_short":["Katsaggelos, A.","Biemond, J.","Mersereau, R.","Schafer, R."],"key":"katsaggelos1985general","id":"katsaggelos1985general","bibbaseid":"katsaggelos-biemond-mersereau-schafer-ageneralformulationofconstrainediterativerestorationalgorithms-1985","role":"author","urls":{"Paper":"http://ieeexplore.ieee.org/document/1168356/"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://sites.northwestern.edu/ivpl/files/2023/06/IVPL_Updated_publications-1.bib","dataSources":["KTWAakbPXLGfYseXn","qhF8zxmGcJfvtdeAg","fvDEHD49E2ZRwE3fb","H7crv8NWhZup4d4by","DHqokWsryttGh7pJE","vRJd4wNg9HpoZSMHD","sYxQ6pxFgA59JRhxi","w2WahSbYrbcCKBDsC","XasdXLL99y5rygCmq","3gkSihZQRfAD2KBo3","t5XMbyZbtPBo4wBGS","bEpHM2CtrwW2qE8FP","teJzFLHexaz5AQW5z"],"keywords":[],"search_terms":["general","formulation","constrained","iterative","restoration","algorithms","katsaggelos","biemond","mersereau","schafer"],"title":"A general formulation of constrained iterative restoration algorithms","year":1985}