Inpainting and denoising challenges. (2019)

• Record Type: Book
• Further Information: Note: Sergio Escalera, Stephane Ayache, Jun Wan, Meysam Madadi, Umut Güçlü, Xavier Baró, editors.
• Editors: Escalera, Sergio; Ayache, Stephane; Wan, Jun; Madadi, Meysam; Güçlü, Umut; Baró, Xavier
• Contents: 1. A Brief Review of Image Denoising Algorithms and Beyond.- 2. ChaLearn Looking at People: Inpainting and Denoising Challenges.- 3. U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting.- 4. FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networks.- 5. Iterative Application of Autoencoders for Video Inpainting and Fingerprint Denoising.- 6. Video DeCaptioning using U-Net with Stacked Dilated Convolutional Layers.- 7. Joint Caption Detection and Inpainting using Generative Network.- 8. Generative Image Inpainting for Person Pose Generation.- 9. Person Inpainting with Generative Adversarial Networks.- 10. Road Layout Understanding by Generative Adversarial Inpainting.- 11. Photo-realistic and Robust Inpainting of Faces using Refinement GANs.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource (viii, 144 pages), illustrations (some color)
• Subjects: 621.382/2; Signal processing -- Digital techniques; Machine learning; Electronic books; Electronic books
• Languages: English
• ISBNs: 9783030256142; 3030256146
• Related ISBNs: 9783030256135; 3030256138
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed October 25, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.