We propose a new method to code still images with multiresolutional coding functionality. This algorithm is based on set partitioning in hierarchical trees (SPIHT) (IEEE Trans. Circuits Systems Video Technol. 6 (3) (1...
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We propose a new method to code still images with multiresolutional coding functionality. This algorithm is based on set partitioning in hierarchical trees (SPIHT) (IEEE Trans. Circuits Systems Video Technol. 6 (3) (1996) 243). We consider each subband as a region of interest and encode it using a region of interest (ROI) coding scheme proposed by the authors. The ROI coding scheme introduced a new parent ROI mask and multiple lists of insignificant pixels and multiple lists of insignificant sets. The proposed multiresolutional coding handles multiple ROIs, each of which corresponds to each subband of the wavelet-transformed image. Although the PSNR performance of the proposed multiresolutional coding at low rates is inferior to the original SPIHT algorithm, it provides multiresolutional coding functionality. We analyzed the rate-distortion performance and the computation time of the multiresolutional coding with respect to various bit-rates. (C) 2002 Elsevier Science B.V. All rights reserved.
We address multiresolutional encoding and decoding within the embedded zerotree wavelet (EZW) framework for both images and video. By varying a resolution parameter, one can obtain decoded images at different resoluti...
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ISBN:
(纸本)0819428388
We address multiresolutional encoding and decoding within the embedded zerotree wavelet (EZW) framework for both images and video. By varying a resolution parameter, one can obtain decoded images at different resolutions from one single encoded bitstream, which is already rate scalable for EZW coders. Similarly one can decode video sequences at different rates and different spatial and temporal resolutions from one bitstream. Furthermore, a layered bitstream can be generated with multiresolutional encoding, from which the higher resolution layers can be used to increase the spatial/temporal resolution of the images/video obtained from the low resolution layer. In other words, we have achieved full scalability in rate and partial scalability in space and time. This added spatial/temporal scalability is significant for emerging multimedia applications such as fast decoding, image/video database browsing, telemedicine, multipoint video conferencing, and distance learning.
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