Residual coding with a JPEG2000 framework for controlling L-infinity error applied to ultraspectral sounder data

Aldo Lucero; Sergio D. Cabrera; Edward Vidal Jr.

doi:10.1117/12.682052

1 September 2006 Residual coding with a JPEG2000 framework for controlling L-infinity error applied to ultraspectral sounder data

Aldo Lucero, Sergio D. Cabrera, Edward Vidal Jr.

Author Affiliations +

Proceedings Volume 6300, Satellite Data Compression, Communications, and Archiving II; 630005 (2006) https://doi.org/10.1117/12.682052
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

This paper presents a follow-up to last year's SPIE meeting where we presented a residual encoding method to control maximum absolute error (MAE) based on JPEG2000 Part 2 standard and which was applied to hyperspectral data. In this paper, we evaluate an improved version of the approach on the ultraspectral sounder satellite data made available by NOAA. The data set used consists of a subset of 1,501 bands out of the 2,378 total and where each band is an image of size 90 by 135 pixels. Each pixel or data value is a digital count integer that requires 12 - 14 bits to represent. We present compression performance using a transform in the band (z- or cross-component) direction. We use either the Karhunen-Loeve transform or the discrete wavelet transform with a non-uniform bit-rate allocation to take advantage of the energy compaction. One of the main features of this compression scheme is that residuals (original minus the decompressed values) are also coded in order to control the MAE; therefore, lossless compression can also be accomplished by using a desired MAE of 0.5. In all cases, the quantized residuals are losslessly encoded using the embedded block coding with optimized truncation (EBCOT) bit-plane encoding method that is part of JPEG2000 Part 1. Finally, our recent algorithm for automatically choosing the best (smallest total) combination of the two contributing bit rates is also extended to the 3-dimensional case. The two rates are: (1) the Open Loop rate for the lossy compression using JPEG2000 Part 2 by itself and (2) the EBCOT rate that results from the coding of the quantized residuals. The basis for the approach is the modeling of the residuals using generalized Gaussian random variables. Results for lossless and near-lossless compression will be presented using both an exhaustive search and the automatic search method for finding the minimum overall bit rate.

Citation Download Citation

Aldo Lucero, Sergio D. Cabrera, and Edward Vidal Jr. "Residual coding with a JPEG2000 framework for controlling L-infinity error applied to ultraspectral sounder data", Proc. SPIE 6300, Satellite Data Compression, Communications, and Archiving II, 630005 (1 September 2006); https://doi.org/10.1117/12.682052

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