Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293151534> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4293151534 endingPage "208" @default.
- W4293151534 startingPage "193" @default.
- W4293151534 abstract "The superresolution (SR) method based on generative adversarial networks (GANs) cannot adequately capture enough diversity from training data, resulting in misalignment between input low resolution (LR) images and output high resolution (HR) images. GAN training has difficulty converging. Based on this, an advanced GAN-based image SR reconstruction method is presented. First, the dense connection residual block and attention mechanism are integrated into the GAN generator to improve high-frequency feature extraction. Meanwhile, an added discriminator is added into the GAN discriminant network, which forms a dual discriminator to ensure that the process of training is stable. Second, the more robust Charbonnier loss is used instead of the mean square error (MSE) loss to compare similarities between the obtained image and actual image, and the total variation (TV) loss is employed to smooth the training results. Finally, the experimental results indicate that global structures can be better reconstructed using the method of this paper and texture details of images compared with other SOTA methods. The peak signal-to-noise ratio (PSNR) values by the method of this paper are improved by an average of 2.24 dB, and the structural similarity index measure (SSIM) values are improved by an average of 0.07." @default.
- W4293151534 created "2022-08-27" @default.
- W4293151534 creator A5043323488 @default.
- W4293151534 creator A5059930134 @default.
- W4293151534 creator A5091711832 @default.
- W4293151534 date "2022-01-01" @default.
- W4293151534 modified "2023-10-18" @default.
- W4293151534 title "Advanced Generative Adversarial Network for Image Superresolution" @default.
- W4293151534 cites W1885185971 @default.
- W4293151534 cites W2194775991 @default.
- W4293151534 cites W2242218935 @default.
- W4293151534 cites W2476548250 @default.
- W4293151534 cites W2607041014 @default.
- W4293151534 cites W2884585870 @default.
- W4293151534 cites W2891158090 @default.
- W4293151534 cites W2903417465 @default.
- W4293151534 cites W2963073614 @default.
- W4293151534 cites W2963372104 @default.
- W4293151534 cites W2963470893 @default.
- W4293151534 cites W3030577899 @default.
- W4293151534 cites W4206149110 @default.
- W4293151534 cites W4224443241 @default.
- W4293151534 doi "https://doi.org/10.1007/978-981-19-5194-7_15" @default.
- W4293151534 hasPublicationYear "2022" @default.
- W4293151534 type Work @default.
- W4293151534 citedByCount "1" @default.
- W4293151534 countsByYear W42931515342023 @default.
- W4293151534 crossrefType "book-chapter" @default.
- W4293151534 hasAuthorship W4293151534A5043323488 @default.
- W4293151534 hasAuthorship W4293151534A5059930134 @default.
- W4293151534 hasAuthorship W4293151534A5091711832 @default.
- W4293151534 hasConcept C103278499 @default.
- W4293151534 hasConcept C105795698 @default.
- W4293151534 hasConcept C11413529 @default.
- W4293151534 hasConcept C115961682 @default.
- W4293151534 hasConcept C138885662 @default.
- W4293151534 hasConcept C139945424 @default.
- W4293151534 hasConcept C141239990 @default.
- W4293151534 hasConcept C153180895 @default.
- W4293151534 hasConcept C154945302 @default.
- W4293151534 hasConcept C155512373 @default.
- W4293151534 hasConcept C2524010 @default.
- W4293151534 hasConcept C2776401178 @default.
- W4293151534 hasConcept C2777210771 @default.
- W4293151534 hasConcept C2779803651 @default.
- W4293151534 hasConcept C33923547 @default.
- W4293151534 hasConcept C41008148 @default.
- W4293151534 hasConcept C41895202 @default.
- W4293151534 hasConcept C50644808 @default.
- W4293151534 hasConcept C76155785 @default.
- W4293151534 hasConcept C94915269 @default.
- W4293151534 hasConceptScore W4293151534C103278499 @default.
- W4293151534 hasConceptScore W4293151534C105795698 @default.
- W4293151534 hasConceptScore W4293151534C11413529 @default.
- W4293151534 hasConceptScore W4293151534C115961682 @default.
- W4293151534 hasConceptScore W4293151534C138885662 @default.
- W4293151534 hasConceptScore W4293151534C139945424 @default.
- W4293151534 hasConceptScore W4293151534C141239990 @default.
- W4293151534 hasConceptScore W4293151534C153180895 @default.
- W4293151534 hasConceptScore W4293151534C154945302 @default.
- W4293151534 hasConceptScore W4293151534C155512373 @default.
- W4293151534 hasConceptScore W4293151534C2524010 @default.
- W4293151534 hasConceptScore W4293151534C2776401178 @default.
- W4293151534 hasConceptScore W4293151534C2777210771 @default.
- W4293151534 hasConceptScore W4293151534C2779803651 @default.
- W4293151534 hasConceptScore W4293151534C33923547 @default.
- W4293151534 hasConceptScore W4293151534C41008148 @default.
- W4293151534 hasConceptScore W4293151534C41895202 @default.
- W4293151534 hasConceptScore W4293151534C50644808 @default.
- W4293151534 hasConceptScore W4293151534C76155785 @default.
- W4293151534 hasConceptScore W4293151534C94915269 @default.
- W4293151534 hasLocation W42931515341 @default.
- W4293151534 hasOpenAccess W4293151534 @default.
- W4293151534 hasPrimaryLocation W42931515341 @default.
- W4293151534 hasRelatedWork W2129380808 @default.
- W4293151534 hasRelatedWork W2382607599 @default.
- W4293151534 hasRelatedWork W2546942002 @default.
- W4293151534 hasRelatedWork W2970216048 @default.
- W4293151534 hasRelatedWork W3044388927 @default.
- W4293151534 hasRelatedWork W3153901069 @default.
- W4293151534 hasRelatedWork W3194684016 @default.
- W4293151534 hasRelatedWork W3198669681 @default.
- W4293151534 hasRelatedWork W4281727267 @default.
- W4293151534 hasRelatedWork W4322764708 @default.
- W4293151534 isParatext "false" @default.
- W4293151534 isRetracted "false" @default.
- W4293151534 workType "book-chapter" @default.