http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114037622-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d40285e27f4ed83b8728b0d477404958 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10024 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-007 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 |
| filingDate | 2021-10-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7f632ce9ece5d44ca542f4cc463ad995 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6260ce5d26f8dfc068b8cf1c8e2acc3a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_061937953d6d69302060b866bb065999 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fea24c4692f61ff8d7515dccd9dfbbaf |
| publicationDate | 2022-02-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114037622-A |
| titleOfInvention | Underwater image enhancement method based on imaging model and reinforcement learning |
| abstract | An underwater image enhancement method based on an imaging model and reinforcement learning comprises the following steps: step 1, placing an underwater camera in a water body, and shooting an underwater image which is normally illuminated at a preset distance to serve as an initial image to be enhanced; step 2, calculating the gray value of the initial image, and analyzing and processing the gray value; the gray values are sorted from high to low, and the variance calculation is carried out on the gray values of the first ten percent; step 3, obtaining an approximate underwater image imaging model by using the imaging model of the image under the ground fog condition, and performing self-adaptive learning by combining an underwater color measurement index UIQM; step 4, ending the task until learning the corresponding set training times, obtaining an output enhanced result and storing the enhanced result locally; and 5, selecting two reference evaluation indexes, namely the PSNR and the SSIM, and comparing the enhanced result with the initial result to evaluate the enhancement effect. According to the invention, by learning unknown parameters in a self-adaptive manner, the performances of the underwater image in the aspects of contrast, definition, saturation and the like are further improved. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115423724-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115993094-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114723643-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115993094-B |
| priorityDate | 2021-10-25-04:00^^<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/CID962 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 |
Total number of triples: 26.