Image Compression Using Stitching with Harris Corner Detector and SPIHT Coding

Authors:
Wai Chong Chia;Li-Minn Ang;Kah Phooi Seng
Affiliations:
School of Electrical and Electronic Engineering, The University of Nottingham in Malaysia Campus, Semenyih, Malaysia 43500;School of Electrical and Electronic Engineering, The University of Nottingham in Malaysia Campus, Semenyih, Malaysia 43500;School of Electrical and Electronic Engineering, The University of Nottingham in Malaysia Campus, Semenyih, Malaysia 43500
Venue:
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Year:
2009

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Abstract

An image compression technique that uses the Harris corner detector and SPIHT coding to encode images from two cameras with overlapping field of view is proposed in this paper. Firstly, the Harris corner detector is used to extract the feature points in the two images separately. Secondly, the feature points are matched and the homography that relates the two images is estimated using RANSAC. Finally, the two images are stitched together and the SPIHT coding is used to compress the stitched image. Since the resolution of the stitched image is not always fixed and difficult to be predetermined, the tree structure that is adopted by the SPIHT coding is slightly modified to resolve the problem. Generally, this technique can also be viewed as an alternative solution for joint sources image compression. The simulation results show that the file size can be reduced by approximately 14.25-25.49% depending on the amount of the overlapping region.