Super-resolution using multiple quantized images

Date
2010
Advisor
Instructor
Source Title
Proceedings of the 17th International Conference on Image Processing, IEEE 2010
Print ISSN
1522-4880
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
2029 - 2032
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
Abstract

In this paper, we study the effect of limited amplitude resolution (pixel depth) in super-resolution problem. The problem we address differs from the standard super-resolution problem in that amplitude resolution is considered as important as spatial resolution. We study the trade-off between the pixel depth and spatial resolution of low resolution (LR) images in order to obtain the best visual quality in the reconstructed high resolution (HR) image. The proposed framework reveals great flexibility in terms of pixel depth and number of LR images in super-resolution problem, and demonstrates that it is possible to obtain target visual qualities with different measurement scenarios including images with different amplitude and spatial resolutions.

Course
Other identifiers
Book Title
Keywords
Pixel depth, Amplitude resolution, High resolution image, Low resolution images, Quantization, Spatial resolution, Super resolution, Visual qualities, Image resolution, Imaging systems, Pixels
Citation
Published Version (Please cite this version)