@inproceedings{84092200580c424da7821d67255f0844,
title = "Image compression using stitching with Harris corner detector and SPIHT coding",
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.",
keywords = "Harris corner detector, Image compression, Image stitching, SPIHT",
author = "Chia, {Wai Chong} and Ang, {Li Minn} and Seng, {Kah Phooi}",
year = "2009",
doi = "10.1007/978-3-642-05036-7_62",
language = "English",
isbn = "3642050352",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "653--663",
booktitle = "Visual Informatics",
note = "1st International Visual Informatics Conference, IVIC 2009 ; Conference date: 11-11-2009 Through 13-11-2009",
}