Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/44824
Title: | No-reference objective quality assessment and enhancement for compressed images and videos | Authors: | Yang, Gao | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing | Issue Date: | 2011 | Source: | Yang, G. (2011). No-reference objective quality assessment and enhancement for compressed images and videos. Doctoral thesis, Nanyang Technological University, Singapore. | Abstract: | This thesis proposes new and effective methods to assess the objective quality of compressed digital images and videos, and to enhance the reconstruction quality of them using multiple compressed copies. Digital images and videos are shared over the Internet by millions of users everyday. Such contents are usually highly compressed for efficient transmission at the expense of fidelity. The end users may want to know the quality of these images and videos after lossy compression, should she wish to archive or further process them. There may also be several differently compressed copies of the same content residing at different locations on the web. The end user may like to compare the quality between them so as to pick the best one, or even generating a “super copy” with image quality superior to any of the copies available. | URI: | https://hdl.handle.net/10356/44824 | DOI: | 10.32657/10356/44824 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
TeG0600853H.pdf | 3.92 MB | Adobe PDF | View/Open |
Page view(s) 50
539
Updated on Mar 27, 2024
Download(s) 20
263
Updated on Mar 27, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.