Uhlolojikelele
Amanethiwekhi akhipha umsindo kanye nokufiphalisa amamodeli emizwa ahlanza izithombe ezinomsindo noma ezilufifi, athola imininingwane ebukhali kokufakwayo okungcolile. Zibalulekile ngoba cishe yonke ikhamera, ifoni, nesikena sezokwelapha sikhiqiza izithombe ezingaphelele lezi zokuxhumana ezingazikhulula.
I-Denoising and Deblurring Networks ingeyokugeleza kokusebenza kombono wekhompyutha okuhumusha noma okukhiqiza imidiya ebonakalayo ukuze ihlaziywe, isebenze, futhi isungule.
I-Deep Dive
I-Denoising isusa okusanhlamvu okungahleliwe (ngokuvamile ekukhanyeni okuphansi noma i-ISO ephezulu), kuyilapho ukufiphalisa kubuyisela emuva ukugcotshwa okubangelwa ukuzamazama kwekhamera, ukunyakaza, noma ukungagxili. Yomibili iyimisebenzi 'yokubuyisela isithombe' lapho inethiwekhi ifunda ukwenza imephu kusuka esithombeni esibi kuya kwesihlanzekile. Amamodeli ajulile akudala afana ne-DnCNN afunde ukubikezela umsindo ngokwawo, bese ewususa, kuyilapho kamuva umsebenzi wasebenzisa ama-U-Net encoder-decoder acindezela futhi akhe kabusha izithombe. Ukususa ukufiphala kunzima ngoba 'i-kernel' yokufiphalisa (indlela ipixel ngayinye egcotshwe ngayo) ngokuvamile akwaziwa, ngakho-ke amanethiwekhi angaboni emehlweni kufanele alinganisele kokubili i-kernel nesithombe esicijile. Amapheya okuqeqesha enziwa ngokungeza umsindo noma ukufiphala ngokokwenziwa ukuze kuhlanzwe izithombe ukuze inethiwekhi ibone impendulo efanele.
I-Technical Insight
Ama-denoisers amaningi asebenzisa ukufunda okuyinsalela: esikhundleni sokubikezela isithombe esihlanzekile ngokuqondile, i-DnCNN ibikezela insalela yomsindo futhi iyawususa, okulula ukuwenza ngokugcwele. Ukususa ukufiphala kuvame ukusebenzisa amadizayini anezilinganiso eziningi noma aphindelelayo acwengisa isithombe sibe mahhadlahhadla kuya ku-fine. Imisebenzi yokulahlekelwa ihlanganisa iphutha le-pixel (L1/L2) nokulahlekelwa okubonwayo noma okuphikisayo ukuze imiphumela ibukeke ngokwemvelo kunokuba bushelelezi ngokweqile. Amaqhinga okuzigada njenge-Noise2Noise aze aqeqeshe ngaphandle kwethagethi ehlanzekile ngokwenza imephu uhlaka olulodwa olunomsindo luye kolunye.
I-Mastering Denoising and Denoiring Networks
Amanethiwekhi akhipha umsindo kanye nokufiphalisa amamodeli emizwa ahlanza izithombe ezinomsindo noma ezilufifi, athola imininingwane ebukhali kokufakwayo okungcolile. Zibalulekile ngoba cishe yonke ikhamera, ifoni, nesikena sezokwelapha sikhiqiza izithombe ezingaphelele lezi zokuxhumana ezingazikhulula. I-Denoising and Deblurring Networks ingeyokugeleza kokusebenza kombono wekhompyutha okuhumusha noma okukhiqiza imidiya ebonakalayo ukuze ihlaziywe, isebenze, futhi isungule. Ukuze wakhe ukuqonda okujulile, phatha i-Denoising and Deblurring Networks njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela oyifunayo, ucacise ukucabanga, futhi uhlukanise lokho isistimu engakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa ukunemba kwebhalansi ye-Denoising and Deblurring Networks namaqiniso okusebenza njengekhwalithi yedatha, ukuhluka kokukhanya, nokuvumelana kwamalebula. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini. Ngesikhathi esifanayo, amalungelo ezithombe kanye nemvume kungaba ubungozi bomthetho uma ukutholakala kungacacile. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini.
I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Amathimba aqanjiwe angakwazi ukulinganisa imiqondo ngokushesha ngezibuyekezo ezimbalwa ezenziwa mathupha.
Amathimba aqanjiwe angakwazi ukulinganisa imiqondo ngokushesha ngezibuyekezo ezimbalwa ezenziwa mathupha. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imisebenzi ingasebenzisa amasiginali wesithombe nawevidiyo obekunzima ukuwenza ngaphambilini.
Imisebenzi ingasebenzisa amasiginali wesithombe nawevidiyo obekunzima ukuwenza ngaphambilini. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Ukupakishwa kwemodi yasebusuku ye-smartphone nokukhipha umsindo ozimele abaningi abamnyama esithombeni esisodwa esihlanzekile sokukhanya okuphansi
Ukususa ukufiphala kokunyakaza kumapuleti elayisensi noma ubuso ngokuvikeleka kanye nezithombe ze-forensic
Ukuhlanza ama-artifact okusanhlamvu nokuminyanisa kuvidiyo endala noma ene-bitrate ephansi ngaphambi kokusakaza
Ukunciphisa umsindo ku-CT ne-MRI scan enedosi ephansi ukuze odokotela behlise imisebe ngenkathi begcina imininingwane
Amaphethini Okusebenzisa
I-Denoising and Deblurring Networks iyasebenza
Ukupakishwa kwemodi yasebusuku ye-smartphone nokukhipha umsindo ozimele abaningi abamnyama esithombeni esisodwa esihlanzekile sokukhanya okuphansi.
Ukupakishwa kwemodi yasebusuku ye-smartphone futhi kufanekisela ozimele abaningi abamnyama esithombeni esisodwa esihlanzekile sokukhanya okuphansi Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Denoising and Deblurring Networks iyasebenza
Ukususa ukufiphala kokunyakaza kumapuleti elayisensi noma ubuso ngokuvikeleka kanye nezithombe ze-forensic.
Ukususa ukufiphala kokunyakaza kumapuleti elayisensi noma ubuso ngokuvikeleka kanye nezithombe zesayensi yezobunhloli Amathimba ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Denoising and Deblurring Networks iyasebenza
Ukuhlanza ama-artifact okusanhlamvu nokuminyanisa kuvidiyo endala noma ene-bitrate ephansi ngaphambi kokusakaza.
Ukuhlanza okusanhlamvu nokucindezelwa kwezinto zokwenziwa ezivela kuvidiyo endala noma ene-bitrate ephansi ngaphambi kokusakaza Amathimba ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi elandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Denoising and Deblurring Networks iyasebenza
Ukunciphisa umsindo ku-CT ne-MRI scan enedosi ephansi ukuze odokotela behlise imisebe ngenkathi begcina imininingwane.
Ukunciphisa umsindo kumaskeni we-CT kanye ne-MRI enedosi ephansi ukuze odokotela behlise imisebe kuyilapho begcina imininingwane Amathimba ngokuvamile athola imiphumela engcono uma echaza ikhwalithi ephezulu ngaphambili, egcina indlela yokukhuphuka komuntu yezimo ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Amalungelo ezithombe kanye nemvume kungaba ubungozi bezomthetho uma ukuvela kungacacile.
Ukusebenza kwemodeli kungahluka kukho konke ukukhanya, izibalo zabantu, kanye nezindawo.
Okuhle okungelona iqiniso kungase kungabonakali ngaphandle uma izinga lokuzethemba liqashelwa.
Ukuqalisa Umhlahlandlela
Chaza indlela yokwamukela yokunemba, ukukhumbula, nezindleko zamaphutha.
Chaza indlela yokwamukela yokunemba, ukukhumbula, nezindleko zamaphutha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Hlola ngedatha efana nezimo zangempela zokukhiqiza.
Hlola ngedatha efana nezimo zangempela zokukhiqiza. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Engeza isibuyekezo somuntu ukuze uthole ukuzethemba okuphansi noma izibikezelo zomthelela omkhulu.
Engeza isibuyekezo somuntu ukuze uthole ukuzethemba okuphansi noma izibikezelo zomthelela omkhulu. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Landelela ukukhukhuleka kwemodeli bese uqinisekisa kabusha ngemva kwezinguquko zekhamera noma zesethi yedatha.
Landelela ukukhukhuleka kwemodeli bese uqinisekisa kabusha ngemva kwezinguquko zekhamera noma zesethi yedatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.