Denoising hybrid noises in image with stacked autoencoder
A method based on sparse denoising autoencoder for denoising hybrid noises in image is proposed in this paper. The method is experimented on natural images and the performance is evaluated in terms of peak signal to noise ratio (PSNR). By specifically designing the training process of sparse denoisi...
Gespeichert in:
| Veröffentlicht in: | 2015 IEEE International Conference on Information and Automation S. 2720 - 2724 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
01.08.2015
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | A method based on sparse denoising autoencoder for denoising hybrid noises in image is proposed in this paper. The method is experimented on natural images and the performance is evaluated in terms of peak signal to noise ratio (PSNR). By specifically designing the training process of sparse denoising autoencoder, our model not only achieves good performance on single kind of noises, but also is relatively robust to mixed noises, which are more widely existed in practical situation. Autoencoder is a major branch of deep learning. It has been used in many applications as the method to exact features for its ability to represent the input data. Applying autoencoder to image denoising has been achieved good performance. Further research was deployed to find that autoencoder method is relatively robust compared with BM3D. And a sparse denoising autoencoder model is employed to train the network and it works well for the hybrid noise situation. |
|---|---|
| AbstractList | A method based on sparse denoising autoencoder for denoising hybrid noises in image is proposed in this paper. The method is experimented on natural images and the performance is evaluated in terms of peak signal to noise ratio (PSNR). By specifically designing the training process of sparse denoising autoencoder, our model not only achieves good performance on single kind of noises, but also is relatively robust to mixed noises, which are more widely existed in practical situation. Autoencoder is a major branch of deep learning. It has been used in many applications as the method to exact features for its ability to represent the input data. Applying autoencoder to image denoising has been achieved good performance. Further research was deployed to find that autoencoder method is relatively robust compared with BM3D. And a sparse denoising autoencoder model is employed to train the network and it works well for the hybrid noise situation. |
| Author | Le Huang Lin Wang Xiufen Ye Huiming Xing |
| Author_xml | – sequence: 1 surname: Xiufen Ye fullname: Xiufen Ye email: yexiufen@hrbeu.edu.cn organization: Coll. of Autom., Harbin Eng. Univ., Harbin, China – sequence: 2 surname: Lin Wang fullname: Lin Wang organization: Coll. of Autom., Harbin Eng. Univ., Harbin, China – sequence: 3 surname: Huiming Xing fullname: Huiming Xing organization: Coll. of Autom., Harbin Eng. Univ., Harbin, China – sequence: 4 surname: Le Huang fullname: Le Huang organization: Coll. of Autom., Harbin Eng. Univ., Harbin, China |
| BookMark | eNotj8tOwzAQRY1EF1D6Bd34BxLs2PFjWYVXpErd0HU19oxbC3BQEoT694Do6upsjs69ZddlKMTYWopaSuHv-64vaVM3Qra1bay32lyxlbdOamOVl0LbG-YfqAx5yuXIT-cwZuR_SBPPhecPOBL_zvOJTzPEN0IOX_NAJQ5I4x1bJHifaHXZJds_Pb52L9V299x3m22VZaPmyoDwDlongnHktDat8UFhUFGBBVAaEEk5wBTBGkSVtDAhOheToYSglmz9781EdPgcf6vG8-FySP0AtnxGWw |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/ICInfA.2015.7279746 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 9781467391047 1467391042 |
| EndPage | 2724 |
| ExternalDocumentID | 7279746 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IL CBEJK RIE RIL |
| ID | FETCH-LOGICAL-i123t-6a098a580b68e8446569b3db3c3a7aa34adde38adfca76dd3f406bc88cf6efda3 |
| IEDL.DBID | RIE |
| IngestDate | Thu Jun 29 18:36:29 EDT 2023 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i123t-6a098a580b68e8446569b3db3c3a7aa34adde38adfca76dd3f406bc88cf6efda3 |
| PageCount | 5 |
| ParticipantIDs | ieee_primary_7279746 |
| PublicationCentury | 2000 |
| PublicationDate | 20150801 |
| PublicationDateYYYYMMDD | 2015-08-01 |
| PublicationDate_xml | – month: 08 year: 2015 text: 20150801 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | 2015 IEEE International Conference on Information and Automation |
| PublicationTitleAbbrev | ICInfA |
| PublicationYear | 2015 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| Score | 1.7174913 |
| Snippet | A method based on sparse denoising autoencoder for denoising hybrid noises in image is proposed in this paper. The method is experimented on natural images and... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 2720 |
| SubjectTerms | deep learning Image denoising Neural networks Noise Noise reduction Speckle stacked sparse denoising autoencoder Testing Training |
| Title | Denoising hybrid noises in image with stacked autoencoder |
| URI | https://ieeexplore.ieee.org/document/7279746 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT8MwDLa2iQMnQBvirRw40q0lW5Ie0WBiEpp2ALTblMau6IEWbS0S_x6nrYaQuJBTEkWKEsv-bMd2AK4j5n-rwzDQUrGBwqAQWEbNQDmMneaGtWvg9UkvFma1ipcduNnlwhBRHXxGQ9-t3_KxcJV3lY0Ya1n9VV3oaq2aXK22kFAUxqP5dJ6ndz5aazJsV_76MqVGjNnB__Y6hMFP6p1Y7kDlCDqU9yG-p7zIvFUv3r58ipXwQ9qKLBfZO0sE4d2pghU95kkUtioLX58SaTOAl9nD8_QxaP88CDLGkDJQNoyNnZgwUYZMXc0sTiQm0kmrrZVjL4-ksZg6qxWiTBmRE2eMSxWlaOUx9PIipxMQ0iAqwogQb8eEE8t0YesqJEqlY7XkFPr-2OuPpqzFuj3x2d_T57Dvb7aJfbuAXrmp6BL23GeZbTdXNS2-AYlRjoU |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LTwIxEJ4gmuhJDRjf9uDRhcVCt3s0KIGIhAMabqTbmY17YNcsi4n_3umywZh4sae2adJMm843M50HwG2H378JfN8LpGIFhUHBM4yanrIY2oAblqaBt3Ewmej5PJzW4G4bC0NEpfMZtVy3_MvHzK6dqazNWMvir9qBXVc5q4rWqlIJdfywPeqP0vjB-Wv1WtXaX0VTSswYHP5vtyNo_gTfiekWVo6hRmkDwkdKs8Tp9eL9ywVZCTeklUhSkSyZJwhnUBUs6vGrRGHWReYyVCLlTXgdPM36Q6-qeuAljCKFp4wfatPTfqQ06TKfWRhJjKSVJjBGdh1HktpgbE2gEGXMmBxZrW2sKEYjT6CeZimdgpAaURF2CPG-S9gzfDOsX_lEsbQsmJxBw5G9-NgktlhUFJ__PX0D-8PZy3gxHk2eL-DAnfLGE-4S6kW-pivYs59Fssqvy3v5BiO-kc4 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2015+IEEE+International+Conference+on+Information+and+Automation&rft.atitle=Denoising+hybrid+noises+in+image+with+stacked+autoencoder&rft.au=Xiufen+Ye&rft.au=Lin+Wang&rft.au=Huiming+Xing&rft.au=Le+Huang&rft.date=2015-08-01&rft.pub=IEEE&rft.spage=2720&rft.epage=2724&rft_id=info:doi/10.1109%2FICInfA.2015.7279746&rft.externalDocID=7279746 |