JPEG2000-based scalable reconstruction of image local regions

JPEG2000-based scalable reconstruction of image local regions is a method making use of the property of wavelet-transform. First, we compress and encode the image with the basic algorithm of JPEG2000. Then we arrange the compressed data stream according to the zero-tree structure. Each zero-tree is corresponding to a mesh field of original image. Contents in this mesh can be reconstructed with discrete wavelet transform (DWT) coefficients in the zero-tree. We preview the lowest resolution sub-image (LL sub-image) before searching. As the object is found, we focus on it and reconstruct contents in the aim mesh level by level in both spatial revolution and Signal-to-Noise (SNR). We only use part of the compressed data stream to reconstruct image local regions. It can save much calculation resource. In the end of this paper, an experimental case of JPEG2000-based scalable reconstruction of image local regions is given