Remote sensing image compression based on orientation-adaptive wavelet

This paper addresses the problem of image compression in remote sensing applications. Compared with other still images, remote-sensing images are characterized with complex textures and weak local correlation. As a fact, RS images often contain richly directional attributes, which can be commonly approximated as linear edges on a local level. Most of current algorithms of image compression have not taken this into account. In order to further improve coding efficiency, an efficient remote sensing image coding algorithm based on orientation-adaptive wavelet (OAW) is proposed. Compared to conventional lifting schemes, the method proposed can be performed at the direction where the pixels have a strong correlation, rather than always at the horizontal or vertical orientation. In the experiment, the author selects three satellite images to test the performance of the algorithm. Experimental results illustrate that it provides higher performance than traditional lifting schemes in low-bits compression.