http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107730451-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20021 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20048 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-007 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H03M7-3062 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-168 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-4084 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H03M7-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-168 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-40 |
| filingDate | 2017-09-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2020-06-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2020-06-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-107730451-B |
| titleOfInvention | Compressed sensing reconstruction method and system based on depth residual error network |
| abstract | The invention relates to a compressed sensing reconstruction method and a system based on a depth residual error network, comprising the following steps: acquiring an original image signal as training data, and dividing the training data into a plurality of image blocks through scale transformation and division processing; obtaining a measured value corresponding to the brightness component according to the brightness component of each image block and the compressed sensing theoretical model; carrying out linear mapping processing on the measured value through a full-connection network to obtain a primary reconstruction result; inputting the preliminary reconstruction result into a depth residual error network, and training to obtain an estimated residual error value; and fusing the estimated residual value and the primary reconstruction result to generate a reconstruction signal. Therefore, the invention not only realizes the reduction and reconstruction of the measured value to the image, but also uses the characteristic that the depth residual error network only learns the difference between the measured value and the target by introducing the depth residual error network to participate in the reconstruction of the signal, thereby improving the quality of the reduced signal. |
| priorityDate | 2017-09-20-04:00^^<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/substance/SID419530238 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID16682730 |
Total number of triples: 22.