Paper Info
Title
3D/2D object-based coding of head MRI data
Abstract
We propose a coding system featuring 3D encoding/2D decoding object-based functionalities. Any object of any 2D image of the dataset can be recovered at a finely graded up to lossless quality. Compression is improved by exploiting the full correlation among data samples by means of 3D DWT. A swift access to 2D images is obtained by enabling 2D decoding. Given the index of the im- age of interest along the axis, only the concerned portion of the bitstream is decoded, at the desired quality. The selective access to data can be improved by splitting the image in regions corre- sponding to the different objects. Then, a suitable ordering of the encoded information within the bitstream enables random access to any object at the desired rate. This enables a pseudo-lossless regime, where the diagnostically relevant parts of the image are represented without loss, while a lower quality is assumed to be acceptable for the others. Results show that the proposed system is a good compromise between the gain in compression efficiency provided by 3D systems and the fast access to the data of 2D ones.
Year
DOI
Venue
2002
10.1109/ICIP.2002.1037989
Image Processing. 2002. Proceedings. 2002 International Conference  
Keywords
Field
DocType
biomedical MRI,data compression,decoding,discrete wavelet transforms,image coding,image reconstruction,medical image processing,object detection,transform coding,2D decoding,2D images,3D DWT,3D encoding,fast data access,head MRI data,image reconstruction,object-based coding
Computer vision,Object detection,Pattern recognition,Computer science,Transform coding,Artificial intelligence,Decoding methods,Bitstream,Data compression,Wavelet transform,Random access,Lossless compression
Conference
Volume
ISSN
Citations 
1
1522-4880
2
PageRank 
References 
Authors
0.41
6
2
Name
Order
Citations
PageRank
Gloria Menegaz17510.73
Laurent Grewe220.41