Multiframe Super Resolution with JPEG2000 Compressed Images

This research is primarily focused on combining the techniques of Image processing (Super Resolution) with Image compression. Historically, Joint Photographic Experts Group 2000 (JPEG2000) image compression and multiframe Super Resolution (SR) image processing techniques have evolved separately. In this research, we propose and compare novel processing architectures for applying multiframe SR with JPEG2000 compression. We focus on the adaptive wiener filter (AWF) method of SR and study the SR performance as JPEG2000 is incorporated in different ways. In particular, we perform compression prior to SR and compare this to compression after SR. We also compare independent frame compression with difference frame compression. We find that the effects of compression can be reduced by increasing the signal-to-noise ratio in the correlation model for the AWF SR method, providing a novel approach to treating the compression artifacts. The experimental results include the use of simulated imagery for quantitative analysis. We also include real video results for subjective analysis. A chirp pattern is included in the scene to aid in the subjective analysis with regard to resolution and aliasing.

Name thesis:degree_name

Master of Science (M.S.)

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Electrical Engineering

Grantor dc:publisher

University of Dayton

Year dc:date

2013

Author dc:creator

• Narayanan, Barath Narayanan

Contributors dc:contributor

• Hardie, Russell

• Electrical Engineering

Statement dc:rights

• unrestricted
• This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.

Language dc:language

English

Repository record dc:identifier

http://rave.ohiolink.edu/etdc/view?acc_num=dayton1365597593

OAI identifier oai:identifier

oai:etd.ohiolink.edu:dayton1365597593