{"_id":"nowYcaiPi6Jpj8zDq","bibbaseid":"gilboa-nonlinearbandpassfilteringusingthetvtransform-2014","authorIDs":[],"author_short":["Gilboa, G."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["G."],"propositions":[],"lastnames":["Gilboa"],"suffixes":[]}],"booktitle":"2014 22nd European Signal Processing Conference (EUSIPCO)","title":"Nonlinear band-pass filtering using the TV transform","year":"2014","pages":"1696-1700","abstract":"A distinct family of nonlinear filters is presented. It is based on a new formalism, defining a nonlinear transform based on the TV-functional. Scales in this sense are related to the size of the object and its contrast. Edges are very well preserved and selected scales of the object can be either selected, removed or enhanced. We compare the behavior of the filter to other filters based on Fourier and wavelets transforms and present its unique qualities.","keywords":"band-pass filters;nonlinear filters;transforms;nonlinear band pass filtering;TV transform;nonlinear transform;TV functional;selected scales;wavelets transforms;Fourier transforms;Band-pass filters;TV;Feature extraction;Wavelet transforms;Total variation;TV transform;spectral TV;nonlinear filtering","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925477.pdf","bibtex":"@InProceedings{6952619,\n author = {G. Gilboa},\n booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},\n title = {Nonlinear band-pass filtering using the TV transform},\n year = {2014},\n pages = {1696-1700},\n abstract = {A distinct family of nonlinear filters is presented. It is based on a new formalism, defining a nonlinear transform based on the TV-functional. Scales in this sense are related to the size of the object and its contrast. Edges are very well preserved and selected scales of the object can be either selected, removed or enhanced. We compare the behavior of the filter to other filters based on Fourier and wavelets transforms and present its unique qualities.},\n keywords = {band-pass filters;nonlinear filters;transforms;nonlinear band pass filtering;TV transform;nonlinear transform;TV functional;selected scales;wavelets transforms;Fourier transforms;Band-pass filters;TV;Feature extraction;Wavelet transforms;Total variation;TV transform;spectral TV;nonlinear filtering},\n issn = {2076-1465},\n month = {Sep.},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925477.pdf},\n}\n\n","author_short":["Gilboa, G."],"key":"6952619","id":"6952619","bibbaseid":"gilboa-nonlinearbandpassfilteringusingthetvtransform-2014","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925477.pdf"},"keyword":["band-pass filters;nonlinear filters;transforms;nonlinear band pass filtering;TV transform;nonlinear transform;TV functional;selected scales;wavelets transforms;Fourier transforms;Band-pass filters;TV;Feature extraction;Wavelet transforms;Total variation;TV transform;spectral TV;nonlinear filtering"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2014url.bib","creationDate":"2021-02-13T17:43:41.724Z","downloads":0,"keywords":["band-pass filters;nonlinear filters;transforms;nonlinear band pass filtering;tv transform;nonlinear transform;tv functional;selected scales;wavelets transforms;fourier transforms;band-pass filters;tv;feature extraction;wavelet transforms;total variation;tv transform;spectral tv;nonlinear filtering"],"search_terms":["nonlinear","band","pass","filtering","using","transform","gilboa"],"title":"Nonlinear band-pass filtering using the TV transform","year":2014,"dataSources":["A2ezyFL6GG6na7bbs","oZFG3eQZPXnykPgnE"]}