http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105405098-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20004 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-4053 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-50 |
| filingDate | 2015-10-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2018-08-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2018-08-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-105405098-B |
| titleOfInvention | A Method for Image Super-resolution Reconstruction Based on Sparse Representation and Adaptive Filtering |
| abstract | The invention relates to an image super-resolution reconstruction method based on sparse representation and self-adaptive filtering. First, a large number of images are fully clustered by using the structural information of the image content to ensure that each type of image collection contains strong consistency Based on the image structure information, the category-by-category principal component analysis is carried out to obtain the sparse representation dictionary of each category, which has strong adaptability. Using the group minimum angle regression method and the Euclidean projection method on l 1 ‑ball, the high- and low-resolution image block mapping matrix of each category is solved through cross-iterative optimization. Finally, the low-resolution image is processed directly by using the mapping relationship matrix learned through training, and a high-resolution image with higher definition is quickly reconstructed. |
| priorityDate | 2015-10-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 19.