Matches in SemOpenAlex for { <https://semopenalex.org/work/W3102307785> ?p ?o ?g. }
- W3102307785 endingPage "2427" @default.
- W3102307785 startingPage "2415" @default.
- W3102307785 abstract "Digital cameras that use Color Filter Arrays (CFA) entail a demosaicking procedure to form full RGB images. As today's camera users generally require images to be viewed instantly, demosaicking algorithms for real applications must be fast. Moreover, the associated cost should be lower than the cost saved by using CFA. For this purpose, we revisit the classical Hamilton-Adams (HA) algorithm, which outperforms many sophisticated techniques in both speed and accuracy. Inspired by HA's strength and weakness, we design a very low cost edge sensing scheme. Briefly, it guides demosaicking by a logistic functional of the difference between directional variations. We extensively compare our algorithm with 28 demosaicking algorithms by running their open source codes on benchmark datasets. Compared to methods of similar computational cost, our method achieves substantially higher accuracy, Whereas compared to methods of similar accuracy, our method has significantly lower cost. Moreover, on test images of currently popular resolution, the quality of our algorithm is comparable to top performers, whereas its speed is tens of times faster." @default.
- W3102307785 created "2020-11-23" @default.
- W3102307785 creator A5018318136 @default.
- W3102307785 creator A5048031726 @default.
- W3102307785 creator A5054545185 @default.
- W3102307785 creator A5075696165 @default.
- W3102307785 date "2019-05-01" @default.
- W3102307785 modified "2023-10-16" @default.
- W3102307785 title "Low Cost Edge Sensing for High Quality Demosaicking" @default.
- W3102307785 cites W1892266664 @default.
- W3102307785 cites W1912194039 @default.
- W3102307785 cites W1969210895 @default.
- W3102307785 cites W1977605884 @default.
- W3102307785 cites W1982204247 @default.
- W3102307785 cites W1983049712 @default.
- W3102307785 cites W1989858041 @default.
- W3102307785 cites W2002161233 @default.
- W3102307785 cites W2008359728 @default.
- W3102307785 cites W2012209609 @default.
- W3102307785 cites W2021347102 @default.
- W3102307785 cites W2021517349 @default.
- W3102307785 cites W2022007237 @default.
- W3102307785 cites W2031841708 @default.
- W3102307785 cites W2060994093 @default.
- W3102307785 cites W2068089394 @default.
- W3102307785 cites W2070534498 @default.
- W3102307785 cites W2081890057 @default.
- W3102307785 cites W2082136663 @default.
- W3102307785 cites W2086375115 @default.
- W3102307785 cites W2093860217 @default.
- W3102307785 cites W2095776733 @default.
- W3102307785 cites W2105156560 @default.
- W3102307785 cites W2108858258 @default.
- W3102307785 cites W2114122776 @default.
- W3102307785 cites W2127457591 @default.
- W3102307785 cites W2132213784 @default.
- W3102307785 cites W2133665775 @default.
- W3102307785 cites W2140341478 @default.
- W3102307785 cites W2140772072 @default.
- W3102307785 cites W2151502878 @default.
- W3102307785 cites W2152178471 @default.
- W3102307785 cites W2162568075 @default.
- W3102307785 cites W2164734076 @default.
- W3102307785 cites W2164797116 @default.
- W3102307785 cites W2168881191 @default.
- W3102307785 cites W2171775321 @default.
- W3102307785 cites W2263237637 @default.
- W3102307785 cites W2294473561 @default.
- W3102307785 cites W2295665303 @default.
- W3102307785 cites W2332613473 @default.
- W3102307785 cites W2410797836 @default.
- W3102307785 cites W2437754452 @default.
- W3102307785 cites W2510900399 @default.
- W3102307785 cites W2514539209 @default.
- W3102307785 cites W2536599074 @default.
- W3102307785 cites W2554310243 @default.
- W3102307785 cites W2556068545 @default.
- W3102307785 cites W2556872594 @default.
- W3102307785 cites W2755686313 @default.
- W3102307785 cites W2792690686 @default.
- W3102307785 doi "https://doi.org/10.1109/tip.2018.2883815" @default.
- W3102307785 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30507508" @default.
- W3102307785 hasPublicationYear "2019" @default.
- W3102307785 type Work @default.
- W3102307785 sameAs 3102307785 @default.
- W3102307785 citedByCount "20" @default.
- W3102307785 countsByYear W31023077852019 @default.
- W3102307785 countsByYear W31023077852020 @default.
- W3102307785 countsByYear W31023077852021 @default.
- W3102307785 countsByYear W31023077852022 @default.
- W3102307785 countsByYear W31023077852023 @default.
- W3102307785 crossrefType "journal-article" @default.
- W3102307785 hasAuthorship W3102307785A5018318136 @default.
- W3102307785 hasAuthorship W3102307785A5048031726 @default.
- W3102307785 hasAuthorship W3102307785A5054545185 @default.
- W3102307785 hasAuthorship W3102307785A5075696165 @default.
- W3102307785 hasBestOaLocation W31023077852 @default.
- W3102307785 hasConcept C11413529 @default.
- W3102307785 hasConcept C115961682 @default.
- W3102307785 hasConcept C13280743 @default.
- W3102307785 hasConcept C142616399 @default.
- W3102307785 hasConcept C142771000 @default.
- W3102307785 hasConcept C154945302 @default.
- W3102307785 hasConcept C162307627 @default.
- W3102307785 hasConcept C177299597 @default.
- W3102307785 hasConcept C178790620 @default.
- W3102307785 hasConcept C185592680 @default.
- W3102307785 hasConcept C185798385 @default.
- W3102307785 hasConcept C205649164 @default.
- W3102307785 hasConcept C27624317 @default.
- W3102307785 hasConcept C2779227376 @default.
- W3102307785 hasConcept C2779705975 @default.
- W3102307785 hasConcept C31972630 @default.
- W3102307785 hasConcept C33923547 @default.
- W3102307785 hasConcept C41008148 @default.
- W3102307785 hasConcept C82990744 @default.
- W3102307785 hasConcept C87359718 @default.
- W3102307785 hasConcept C9417928 @default.