JOURNAL ARTICLE

A New Method of Error Detection in SPIHT Coded Images

Abstract

In this paper we propose a novel approach based on pieces of information detection in order to improve the error detection efficiency and accuracy of the set partitioning in hierarchical trees (SPIHT) algorithm.The erroneous block whose parameter is greater than the threshold is dealt with error concealment according to error concealment neighbor way.The simulation results show that the algorithm is simple, and can effectively find the errors.Comparing with the method without error detection and concealment, the decoder PSNR of reconstructed image has improved 0.3-1.1dB.

Keywords:
Computer science Artificial intelligence Set partitioning in hierarchical trees Pattern recognition (psychology) Computer vision Image (mathematics) Image compression Image processing

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Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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