FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3123014377> ?p ?o ?g. }

• W3123014377 endingPage "150" @default.
• W3123014377 startingPage "137" @default.
• W3123014377 abstract "Low-light imaging is a challenging task because of the excessive photon shot noise. Color imaging in low-light is even more difficult because one needs to demosaick and denoise simultaneously. Existing demosaicking algorithms are mostly designed for well-illuminated scenarios, which fail to work with low-light. Recognizing the recent development of small pixels and low read noise image sensors, we propose a learning-based joint demosaicking and denoising algorithm for low-light color imaging. Our method combines the classical theory of color filter arrays and modern deep learning. We use an explicit carrier to demodulate the color from the input Bayer pattern image. We integrate trainable filters into the demodulation scheme to improve flexibility. We introduce a guided filtering module to transfer knowledge from the luma channel to the chroma channels, thus offering substantially more reliable denoising. Extensive experiments are performed to evaluate the performance of the proposed method, using both synthetic datasets and real data. Results indicate that the proposed method offers consistently better performance over the current state-of-the-art, across several standard evaluation metrics." @default.
• W3123014377 created "2021-02-01" @default.
• W3123014377 creator A5007938446 @default.
• W3123014377 creator A5016491540 @default.
• W3123014377 creator A5050750191 @default.
• W3123014377 creator A5058209248 @default.
• W3123014377 date "2021-01-01" @default.
• W3123014377 modified "2023-10-18" @default.
• W3123014377 title "Low-Light Demosaicking and Denoising for Small Pixels Using Learned Frequency Selection" @default.
• W3123014377 cites W2000512760 @default.
• W3123014377 cites W2008346065 @default.
• W3123014377 cites W2015377140 @default.
• W3123014377 cites W2021347102 @default.
• W3123014377 cites W2039410746 @default.
• W3123014377 cites W2046079682 @default.
• W3123014377 cites W2047710600 @default.
• W3123014377 cites W2053779250 @default.
• W3123014377 cites W2069051299 @default.
• W3123014377 cites W2080452423 @default.
• W3123014377 cites W2090115925 @default.
• W3123014377 cites W2090533176 @default.
• W3123014377 cites W2107517216 @default.
• W3123014377 cites W2124548376 @default.
• W3123014377 cites W2129381747 @default.
• W3123014377 cites W2130394175 @default.
• W3123014377 cites W2133665775 @default.
• W3123014377 cites W2138057336 @default.
• W3123014377 cites W2151502878 @default.
• W3123014377 cites W2153377815 @default.
• W3123014377 cites W2155838693 @default.
• W3123014377 cites W2163353827 @default.
• W3123014377 cites W2196753883 @default.
• W3123014377 cites W2263237637 @default.
• W3123014377 cites W2331128040 @default.
• W3123014377 cites W2410797836 @default.
• W3123014377 cites W2437754452 @default.
• W3123014377 cites W2479691400 @default.
• W3123014377 cites W2480459358 @default.
• W3123014377 cites W2555008653 @default.
• W3123014377 cites W2556068545 @default.
• W3123014377 cites W2556872594 @default.
• W3123014377 cites W2738798903 @default.
• W3123014377 cites W2741137940 @default.
• W3123014377 cites W2755686313 @default.
• W3123014377 cites W2769489553 @default.
• W3123014377 cites W2788991037 @default.
• W3123014377 cites W2809731038 @default.
• W3123014377 cites W2889911121 @default.
• W3123014377 cites W2890691497 @default.
• W3123014377 cites W2902220826 @default.
• W3123014377 cites W2921595853 @default.
• W3123014377 cites W2949801109 @default.
• W3123014377 cites W2950569112 @default.
• W3123014377 cites W2962785568 @default.
• W3123014377 cites W2986186783 @default.
• W3123014377 cites W2991860863 @default.
• W3123014377 cites W2998982792 @default.
• W3123014377 cites W3035373645 @default.
• W3123014377 cites W3048373607 @default.
• W3123014377 cites W3103446263 @default.
• W3123014377 cites W3106912575 @default.
• W3123014377 cites W3107481791 @default.
• W3123014377 cites W3134101691 @default.
• W3123014377 doi "https://doi.org/10.1109/tci.2021.3052694" @default.
• W3123014377 hasPublicationYear "2021" @default.
• W3123014377 type Work @default.
• W3123014377 sameAs 3123014377 @default.
• W3123014377 citedByCount "17" @default.
• W3123014377 countsByYear W31230143772021 @default.
• W3123014377 countsByYear W31230143772022 @default.
• W3123014377 countsByYear W31230143772023 @default.
• W3123014377 crossrefType "journal-article" @default.
• W3123014377 hasAuthorship W3123014377A5007938446 @default.
• W3123014377 hasAuthorship W3123014377A5016491540 @default.
• W3123014377 hasAuthorship W3123014377A5050750191 @default.
• W3123014377 hasAuthorship W3123014377A5058209248 @default.
• W3123014377 hasBestOaLocation W31230143771 @default.
• W3123014377 hasConcept C106131492 @default.
• W3123014377 hasConcept C106430172 @default.
• W3123014377 hasConcept C115961682 @default.
• W3123014377 hasConcept C127162648 @default.
• W3123014377 hasConcept C142616399 @default.
• W3123014377 hasConcept C142771000 @default.
• W3123014377 hasConcept C153180895 @default.
• W3123014377 hasConcept C154945302 @default.
• W3123014377 hasConcept C160633673 @default.
• W3123014377 hasConcept C163294075 @default.
• W3123014377 hasConcept C177299597 @default.
• W3123014377 hasConcept C178790620 @default.
• W3123014377 hasConcept C185592680 @default.
• W3123014377 hasConcept C195251586 @default.
• W3123014377 hasConcept C202474056 @default.
• W3123014377 hasConcept C23431618 @default.
• W3123014377 hasConcept C27624317 @default.
• W3123014377 hasConcept C2779227376 @default.
• W3123014377 hasConcept C30814859 @default.
• W3123014377 hasConcept C31972630 @default.
• W3123014377 hasConcept C41008148 @default.

• next