Image quality assessment of computer-generated images : based on machine learning and soft computing /: based on machine learning and soft computing. (2018)
- Record Type:
- Book
- Title:
- Image quality assessment of computer-generated images : based on machine learning and soft computing /: based on machine learning and soft computing. (2018)
- Main Title:
- Image quality assessment of computer-generated images : based on machine learning and soft computing
- Further Information:
- Note: André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin.
- Authors:
- Bigand, André
Dehos, Julien
Renaud, Christophe
Constantin, Joseph - Contents:
- Introduction -- Monte-Carlo Methods for Image Synthesis -- Visual Impact of Rendering on Image Quality -- Full-reference Methods and Machine Learning -- No-reference Methods and Fuzzy Sets -- Reduced-reference Methods -- Conclusion.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 006.6
Computer science
Computer graphics
Machine learning
Soft computing
COMPUTERS -- General
Computer graphics
Machine learning
Soft computing
Computers -- Intelligence (AI) & Semantics
Artificial intelligence
Computer vision
Engineering
Computers -- Computer Vision & Pattern Recognition
Computer vision
Electronic books - Languages:
- English
- ISBNs:
- 9783319735436
3319735438 - Related ISBNs:
- 9783319735429
331973542X - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (EBSCO, viewed March 14, 2018). - 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.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.348086
- Ingest File:
- 01_302.xml