Lidar depth image compression using clustering, re-indexing, and JPEG2000

Dmitriy Karpman; David Ashbrook; Xiaoling Li; Ye Duan; Wenjun Zeng

doi:10.1117/12.883656

8 June 2011 Lidar depth image compression using clustering, re-indexing, and JPEG2000

Dmitriy Karpman, David Ashbrook, Xiaoling Li, Ye Duan, Wenjun Zeng

Proceedings Volume 8037, Laser Radar Technology and Applications XVI; 80370G (2011) https://doi.org/10.1117/12.883656
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Large LiDAR (Light Detection And Ranging) data sets are used to create depth mapping of objects and geographic areas. The suitability of image compression methods for these large LiDAR data sets was explored, analyzed and optimized. Our research interprets LiDAR data as intensity based "depth images", and uses k-means clustering, reindexing and JPEG2000 to compress the data. The first step in our method applies the k-means clustering algorithm to an intensity image creating a small index table, an index map and residual image. Next we use methods from previous research to re-index the index map to optimize compression when using JPEG2000. And lastly we compress both the reindexed map and residual image using JPEG2000, exploring the use of both lossless and lossy compression. Experimental results show that in general we can compress data to 23% of the original size losslessly and even further allowing for small amounts of loss.

Citation Download Citation

Dmitriy Karpman, David Ashbrook, Xiaoling Li, Ye Duan, and Wenjun Zeng "Lidar depth image compression using clustering, re-indexing, and JPEG2000", Proc. SPIE 8037, Laser Radar Technology and Applications XVI, 80370G (8 June 2011); https://doi.org/10.1117/12.883656

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available