Efficient low bit rate lossy and lossless mix coding of three-dimensional images using ROI with size reduction: a novel compound approach overview

Authors:
Ajith Kumarayapa;Zhang Ye
Affiliations:
School of Electronics and Information Engineering, Dept. of Electronics and Communication Eng., Harbin Institute of Technology, Harbin, P.R. China;School of Electronics and Information Engineering, Dept. of Electronics and Communication Eng., Harbin Institute of Technology, Harbin, P.R. China
Venue:
ICECS'05 Proceedings of the 4th WSEAS international conference on Electronics, control and signal processing
Year:
2005

Citing 2
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A new, fast, and efficient image codec based on set partitioning in hierarchical trees

IEEE Transactions on Circuits and Systems for Video Technology
Low bit-rate scalable video coding with 3-D set partitioning in hierarchical trees (3-D SPIHT)

IEEE Transactions on Circuits and Systems for Video Technology

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Abstract

In this paper, we present an overview of the implementation of navel compound algorithm for efficient low bit rate lossy and ROI lossless Mix Coding of massive three dimensional images. Moreover the compound algorithm can be used for multitasking Remote Sensing field operations and efficient 3-D image transmission applications such as overall image viewing at low bit rate lossy coding, nearly lossless ROI coding of most desired target area as well as efficient low memory storage or transmission/network transfer of such 3-D images with volume reduction technique. In the navel compound algorithm, a modification to the conventional 3D-SPIHT algorithm is implemented with 3- D IWT, lossless ROI Coding and observer pre decide image size reduction using Volumetric Interpolation. Comparison to conventional 3-D SPIHT with DWT, the compound algorithm results interpret high PSNR at low bit rate coding and efficient and better perceptive effects in the ROI coded images.