JPEG2000-based scalable reconstruction of image local regions

Author

Min Sheng Zhong ; Zheng Min Ma

Author_Institution

Zhongshan Univ., Guangzhou

fYear

2001

fDate

2001

Firstpage

174

Lastpage

177

Abstract

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

Keywords

data compression; image coding; image reconstruction; JPEG2000; compress; compressed data stream; encode; image local regions; scalable reconstruction; wavelet-transform; zero-tree structure; Decoding; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Image reconstruction; Image segmentation; Scalability; Spatial resolution; Streaming media; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on

Conference_Location

Hong Kong

Print_ISBN

962-85766-2-3

Type

conf

DOI

10.1109/ISIMP.2001.925360

Filename

925360