Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_47a23d5bce4a3b7ee2f666f63dbfd8fa |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20182 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10016 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20192 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20012 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N19-117 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-002 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N19-86 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N19-61 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N19-14 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N5-21 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N19-176 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N5-208 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-50 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04N7-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04N5-213 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04N7-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 |
filingDate |
2005-07-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_08c57c3a04e3658474190b5a97dc942e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8408ce604e0d80b03b41a55e48d21c2f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_57b8045347067b56211842b9a11b2ac1 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e29a279aa9c811ebe97cc5a6b77885f5 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_60dbfefe7733334e0f9565d4cae8883e |
publicationDate |
2007-04-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
EP-1771818-A1 |
titleOfInvention |
Apparatus and method for adaptive 3d artifact reducing for encoded image signal |
abstract |
An efficient and non-iterative 3D post processing method and system is proposed for mosquito noise reduction, block localization and correction in DCT block-based decoded images. The 3D post processing is based on a simple classification that segments a picture in multiple regions such as Edge, Near Edge, Flat, Near Flat and Texture regions. The proposed technique comprises also an efficient and shape adaptive local power estimation for equivalent additive noise and provides simple noise power weighting for each above cited region. Temporal filtering configurations using Minimum Noise Variance Criterion are proposed for reducing temporally varying coding artifacts. A Minimum Mean Square Error or Minimum Mean Square Error-like noise reduction with robust and effective shape adaptive windowing is utilized for smoothing mosquito and/or random noise for the whole image, particularly for Edge regions. The proposed technique comprises also signal domain histogram analysis based Block Localization and adaptive edge based Block artifact correction. Finally, is also proposed an optional adaptive detail enhancer which can enhances the luminance signal in eight directions differently. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-9412181-B1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-8761541-B2 |
priorityDate |
2004-07-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |