Improving quality of unwarped omni-images with irregularly-distributed unfilled pixels by a new edge-preserving interpolation technique

Authors:
Sheng-Wen Jeng;Wen-Hsiang Tsai
Affiliations:
Department of Computer Science, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, Taiwan 30010, Taiwan;Department of Computer Science, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, Taiwan 30010, Taiwan and Department of Computer Science and Information Engineering, Asia University, L ...
Venue:
Pattern Recognition Letters
Year:
2007

Citing 7
Cited 1

Fundamentals of digital image processing

Fundamentals of digital image processing
A Theory of Single-Viewpoint Catadioptric Image Formation

International Journal of Computer Vision
Catadioptric Omnidirectional Camera

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Visual Surveillance and Monitoring System Using an Omnidirectional Video Camera

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Catadioptric Camera Calibration Using Geometric Invariants

IEEE Transactions on Pattern Analysis and Machine Intelligence
Calibration Method for Misaligned Catadioptric Camera

IEICE - Transactions on Information and Systems
New edge-directed interpolation

IEEE Transactions on Image Processing

A Space Variant Gradient Based Corner Detector for Sparse Omnidirectional Images

Journal of Mathematical Imaging and Vision

Quantified Score

Hi-index	0.10

Visualization

Abstract

A new method called ''edge-preserving 8-directional two-layered weighting interpolation'' is proposed for interpolating unfilled pixels in a perspective-view or panoramic image resulting from unwarping an omni-image taken by a non-single-view-point hypercatadioptric camera. This method can solve the problem of edge preserving in interpolating the input image which has many irregularly-distributed unfilled pixels. Three concepts of weighting have been considered in the proposed edge-preserving interpolation process: (1) inverse-distance weighting; (2) pixel-count weighting; and (3) region-wise weighting. Good experimental results showing the effectiveness of edge preserving and its superiority to other methods are also included.