Device and method for depth image dequantization
A mechanism is described for facilitating depth image dequantization at computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a digital image of an object, the digital image including pixels having associated pixel values contaminated by nois...
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Format: | Patent |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Surazhsky Vitaly Kimmel Ron Karni Zachi Bronstein Michael Bronstein Alex Sperling Erez Zabatani Aviad |
| description | A mechanism is described for facilitating depth image dequantization at computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a digital image of an object, the digital image including pixels having associated pixel values contaminated by noise, and side information pertaining to confidence of a value acquired in each pixel. The method may further include measuring characteristics of noise in each pixel of the digital image, and a plurality of weights relating to one or more of the pixel values, the side information, and the noise characteristics. The method may further include computing a smart filter based on a combination of the plurality of weights, applying the smart filter to filter the digital image by reducing the noise in the digital image, and outputting the filtered digital image. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US9940701B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US9940701B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US9940701B23</originalsourceid><addsrcrecordid>eNrjZDBwSS3LTE5VSMxLUchNLcnIT1FIyy9SSEktKMlQyMxNTE8FsgtLE_NKMqsSSzLz83gYWNMSc4pTeaE0N4OCm2uIs4duakF-fGpxQWJyal5qSXxosKWliYG5gaGTkTERSgD43Sr4</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Device and method for depth image dequantization</title><source>esp@cenet</source><creator>Surazhsky Vitaly ; Kimmel Ron ; Karni Zachi ; Bronstein Michael ; Bronstein Alex ; Sperling Erez ; Zabatani Aviad</creator><creatorcontrib>Surazhsky Vitaly ; Kimmel Ron ; Karni Zachi ; Bronstein Michael ; Bronstein Alex ; Sperling Erez ; Zabatani Aviad</creatorcontrib><description>A mechanism is described for facilitating depth image dequantization at computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a digital image of an object, the digital image including pixels having associated pixel values contaminated by noise, and side information pertaining to confidence of a value acquired in each pixel. The method may further include measuring characteristics of noise in each pixel of the digital image, and a plurality of weights relating to one or more of the pixel values, the side information, and the noise characteristics. The method may further include computing a smart filter based on a combination of the plurality of weights, applying the smart filter to filter the digital image by reducing the noise in the digital image, and outputting the filtered digital image.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2018</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20180410&DB=EPODOC&CC=US&NR=9940701B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25562,76317</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20180410&DB=EPODOC&CC=US&NR=9940701B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Surazhsky Vitaly</creatorcontrib><creatorcontrib>Kimmel Ron</creatorcontrib><creatorcontrib>Karni Zachi</creatorcontrib><creatorcontrib>Bronstein Michael</creatorcontrib><creatorcontrib>Bronstein Alex</creatorcontrib><creatorcontrib>Sperling Erez</creatorcontrib><creatorcontrib>Zabatani Aviad</creatorcontrib><title>Device and method for depth image dequantization</title><description>A mechanism is described for facilitating depth image dequantization at computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a digital image of an object, the digital image including pixels having associated pixel values contaminated by noise, and side information pertaining to confidence of a value acquired in each pixel. The method may further include measuring characteristics of noise in each pixel of the digital image, and a plurality of weights relating to one or more of the pixel values, the side information, and the noise characteristics. The method may further include computing a smart filter based on a combination of the plurality of weights, applying the smart filter to filter the digital image by reducing the noise in the digital image, and outputting the filtered digital image.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDBwSS3LTE5VSMxLUchNLcnIT1FIyy9SSEktKMlQyMxNTE8FsgtLE_NKMqsSSzLz83gYWNMSc4pTeaE0N4OCm2uIs4duakF-fGpxQWJyal5qSXxosKWliYG5gaGTkTERSgD43Sr4</recordid><startdate>20180410</startdate><enddate>20180410</enddate><creator>Surazhsky Vitaly</creator><creator>Kimmel Ron</creator><creator>Karni Zachi</creator><creator>Bronstein Michael</creator><creator>Bronstein Alex</creator><creator>Sperling Erez</creator><creator>Zabatani Aviad</creator><scope>EVB</scope></search><sort><creationdate>20180410</creationdate><title>Device and method for depth image dequantization</title><author>Surazhsky Vitaly ; Kimmel Ron ; Karni Zachi ; Bronstein Michael ; Bronstein Alex ; Sperling Erez ; Zabatani Aviad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US9940701B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2018</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>Surazhsky Vitaly</creatorcontrib><creatorcontrib>Kimmel Ron</creatorcontrib><creatorcontrib>Karni Zachi</creatorcontrib><creatorcontrib>Bronstein Michael</creatorcontrib><creatorcontrib>Bronstein Alex</creatorcontrib><creatorcontrib>Sperling Erez</creatorcontrib><creatorcontrib>Zabatani Aviad</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Surazhsky Vitaly</au><au>Kimmel Ron</au><au>Karni Zachi</au><au>Bronstein Michael</au><au>Bronstein Alex</au><au>Sperling Erez</au><au>Zabatani Aviad</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Device and method for depth image dequantization</title><date>2018-04-10</date><risdate>2018</risdate><abstract>A mechanism is described for facilitating depth image dequantization at computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a digital image of an object, the digital image including pixels having associated pixel values contaminated by noise, and side information pertaining to confidence of a value acquired in each pixel. The method may further include measuring characteristics of noise in each pixel of the digital image, and a plurality of weights relating to one or more of the pixel values, the side information, and the noise characteristics. The method may further include computing a smart filter based on a combination of the plurality of weights, applying the smart filter to filter the digital image by reducing the noise in the digital image, and outputting the filtered digital image.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US9940701B2 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Device and method for depth image dequantization |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T21%3A37%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Surazhsky%20Vitaly&rft.date=2018-04-10&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS9940701B2%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |