Matches in SemOpenAlex for { <https://semopenalex.org/work/W3212798786> ?p ?o ?g. }
- W3212798786 endingPage "216" @default.
- W3212798786 startingPage "204" @default.
- W3212798786 abstract "The general aim of multi-focus image fusion is to gather focused regions of different images to generate a unique all-in-focus fused image. Deep learning based methods become the mainstream of image fusion by virtue of its powerful feature representation ability. However, most of the existing deep learning structures failed to balance fusion quality and end-to-end implementation convenience. End-to-end decoder design often leads to unrealistic result because of its non-linear mapping mechanism. On the other hand, generating an intermediate decision map achieves better quality for the fused image, but relies on the rectification with empirical post-processing parameter choices. In this work, to handle the requirements of both output image quality and comprehensive simplicity of structure implementation, we propose a cascade network to simultaneously generate decision map and fused result with an end-to-end training procedure. It avoids the dependence on empirical post-processing methods in the inference stage. To improve the fusion quality, we introduce a gradient aware loss function to preserve gradient information in output fused image. In addition, we design a decision calibration strategy to decrease the time consumption in the application of multiple images fusion. Extensive experiments are conducted to compare with 19 different state-of-the-art multi-focus image fusion structures with 6 assessment metrics. The results prove that our designed structure can generally ameliorate the output fused image quality, while implementation efficiency increases over 30% for multiple images fusion." @default.
- W3212798786 created "2021-11-22" @default.
- W3212798786 creator A5009624071 @default.
- W3212798786 creator A5023139838 @default.
- W3212798786 creator A5028572285 @default.
- W3212798786 creator A5057842198 @default.
- W3212798786 creator A5069496916 @default.
- W3212798786 creator A5079594267 @default.
- W3212798786 date "2022-01-01" @default.
- W3212798786 modified "2023-10-17" @default.
- W3212798786 title "End-to-end learning for simultaneously generating decision map and multi-focus image fusion result" @default.
- W3212798786 cites W1861492603 @default.
- W3212798786 cites W1985972181 @default.
- W3212798786 cites W1994714721 @default.
- W3212798786 cites W1999034606 @default.
- W3212798786 cites W2002285735 @default.
- W3212798786 cites W2020442368 @default.
- W3212798786 cites W2025133197 @default.
- W3212798786 cites W2026651590 @default.
- W3212798786 cites W2039465985 @default.
- W3212798786 cites W2081195086 @default.
- W3212798786 cites W2082232962 @default.
- W3212798786 cites W2083388902 @default.
- W3212798786 cites W2091484864 @default.
- W3212798786 cites W2103504761 @default.
- W3212798786 cites W2125188192 @default.
- W3212798786 cites W2131168375 @default.
- W3212798786 cites W2168783614 @default.
- W3212798786 cites W2474462684 @default.
- W3212798786 cites W2559870345 @default.
- W3212798786 cites W2777967210 @default.
- W3212798786 cites W2796672611 @default.
- W3212798786 cites W2919115771 @default.
- W3212798786 cites W2963787388 @default.
- W3212798786 cites W2998012573 @default.
- W3212798786 cites W2998529071 @default.
- W3212798786 cites W3000491333 @default.
- W3212798786 cites W3005272968 @default.
- W3212798786 cites W3010335025 @default.
- W3212798786 cites W3081131687 @default.
- W3212798786 cites W3083574456 @default.
- W3212798786 cites W3088623196 @default.
- W3212798786 cites W3105639468 @default.
- W3212798786 cites W3108618593 @default.
- W3212798786 cites W3110391382 @default.
- W3212798786 cites W3130661843 @default.
- W3212798786 doi "https://doi.org/10.1016/j.neucom.2021.10.115" @default.
- W3212798786 hasPublicationYear "2022" @default.
- W3212798786 type Work @default.
- W3212798786 sameAs 3212798786 @default.
- W3212798786 citedByCount "19" @default.
- W3212798786 countsByYear W32127987862022 @default.
- W3212798786 countsByYear W32127987862023 @default.
- W3212798786 crossrefType "journal-article" @default.
- W3212798786 hasAuthorship W3212798786A5009624071 @default.
- W3212798786 hasAuthorship W3212798786A5023139838 @default.
- W3212798786 hasAuthorship W3212798786A5028572285 @default.
- W3212798786 hasAuthorship W3212798786A5057842198 @default.
- W3212798786 hasAuthorship W3212798786A5069496916 @default.
- W3212798786 hasAuthorship W3212798786A5079594267 @default.
- W3212798786 hasBestOaLocation W32127987862 @default.
- W3212798786 hasConcept C111472728 @default.
- W3212798786 hasConcept C115961682 @default.
- W3212798786 hasConcept C119857082 @default.
- W3212798786 hasConcept C120665830 @default.
- W3212798786 hasConcept C121332964 @default.
- W3212798786 hasConcept C138885662 @default.
- W3212798786 hasConcept C153180895 @default.
- W3212798786 hasConcept C154945302 @default.
- W3212798786 hasConcept C158525013 @default.
- W3212798786 hasConcept C192209626 @default.
- W3212798786 hasConcept C2776214188 @default.
- W3212798786 hasConcept C2776401178 @default.
- W3212798786 hasConcept C2779530757 @default.
- W3212798786 hasConcept C31972630 @default.
- W3212798786 hasConcept C41008148 @default.
- W3212798786 hasConcept C41895202 @default.
- W3212798786 hasConcept C55020928 @default.
- W3212798786 hasConcept C69744172 @default.
- W3212798786 hasConceptScore W3212798786C111472728 @default.
- W3212798786 hasConceptScore W3212798786C115961682 @default.
- W3212798786 hasConceptScore W3212798786C119857082 @default.
- W3212798786 hasConceptScore W3212798786C120665830 @default.
- W3212798786 hasConceptScore W3212798786C121332964 @default.
- W3212798786 hasConceptScore W3212798786C138885662 @default.
- W3212798786 hasConceptScore W3212798786C153180895 @default.
- W3212798786 hasConceptScore W3212798786C154945302 @default.
- W3212798786 hasConceptScore W3212798786C158525013 @default.
- W3212798786 hasConceptScore W3212798786C192209626 @default.
- W3212798786 hasConceptScore W3212798786C2776214188 @default.
- W3212798786 hasConceptScore W3212798786C2776401178 @default.
- W3212798786 hasConceptScore W3212798786C2779530757 @default.
- W3212798786 hasConceptScore W3212798786C31972630 @default.
- W3212798786 hasConceptScore W3212798786C41008148 @default.
- W3212798786 hasConceptScore W3212798786C41895202 @default.
- W3212798786 hasConceptScore W3212798786C55020928 @default.
- W3212798786 hasConceptScore W3212798786C69744172 @default.
- W3212798786 hasFunder F4320321001 @default.