http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112561842-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20221 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-16 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-50 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-16 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-774 |
| filingDate | 2020-12-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-12-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-12-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112561842-B |
| titleOfInvention | Multi-source Damaged Image Fusion and Restoration Joint Implementation Method Based on Dictionary Learning |
| abstract | The invention relates to a joint implementation method of multi-source damaged image fusion and restoration based on dictionary learning, and belongs to the technical field of image processing. The invention comprises the steps of: collecting a plurality of lossless images, constructing a training set; designing a dictionary learning model training sample set to obtain a low-rank dictionary and a sparse dictionary; determining an image decomposition model, optimizing an objective function, and obtaining a low-rank coding coefficient matrix and a sparse dictionary of an image Coding coefficient matrix; determine the low-rank fusion coding coefficient matrix and sparse fusion coding coefficient matrix through the l 1 norm maximum coefficient fusion rule; according to the low-rank dictionary and sparse dictionary, low-rank fusion coding coefficient matrix and sparse fusion coding coefficient matrix, obtain Finally merge the images. A large number of experimental results of the present invention show that when the method is used to realize image fusion and restoration, good results can be obtained in terms of visual quality and objective evaluation. |
| priorityDate | 2020-12-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID24404 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419559532 |
Total number of triples: 17.