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Shape-Adaptive Reversible Integer Lapped Transform for Lossy-to-Lossless ROI Coding of Remote Sensing Two-Dimensional Images

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6 Author(s)
Licheng Jiao ; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi'an, China ; Lei Wang ; Jiaji Wu ; Jing Bai
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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.

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IEEE Geoscience and Remote Sensing Letters  (Volume:8 ,  Issue: 2 )