Title :
Shape-Adaptive Reversible Integer Lapped Transform for Lossy-to-Lossless ROI Coding of Remote Sensing Two-Dimensional Images
Author :
Jiao, Licheng ; Wang, Lei ; Wu, Jiaji ; Bai, Jing ; Wang, Shuang ; Hou, Biao
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´´an, China
fDate :
3/1/2011 12:00:00 AM
Abstract :
In this letter, we propose a shape-adaptive (SA) reversible integer lapped transform (SA-RLT) method. The new method can deal with arbitrarily shaped image areas while guaranteeing completely reversible integer-to-integer transform. Based on SA-RLT and object-based set partitioned embedded block coder, a new region-of-interest (ROI) compression scheme is designed for 2-D remote sensing images. Numerical experiments reveal that SA-RLT performs better than integer SA discrete wavelet transform, and the new ROI compression scheme performs comparably even better than the JPEG2000-ROI scheme. Advantages in hardware implementation have been preserved by SA-RLT, such as parallel processing and low memory requirement.
Keywords :
data compression; geophysical image processing; geophysical techniques; image coding; parallel processing; remote sensing; transforms; 2D remote sensing images; JPEG2000-ROI scheme; SA-RLT method; completely reversible integer-to-integer transform; integer SA discrete wavelet transform; lossy-to-lossless ROI coding; low memory requirement; object-based set partitioned embedded block coder; parallel processing; region-of-interest compression; shape-adaptive reversible integer lapped transform; Image compression; SA transform; region of interest (ROI); shape-adaptive (SA) discrete cosine transform (DCT) (SA-DCT); time domain lapped transform;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2010.2072490
