JOURNAL ARTICLE

Unequal error protection for progressive image transmission using SPIHT and saliency maps

Abstract

In this paper we provide an unequal error protection enhancement for SM SPIHT based image coding and transmission. SM SPIHT coding uses SPIHT algorithm as basis and employs the saliency maps (SM) to better capture the significance of each image pixel based on the assumed importance for the viewer. The saliency maps are proven extension of the SPIHT. In this paper, we extend this concept for the unequal error protection (UEP) suitable for progressive image transmission, compare the results and show advantages of the proposed approach.

Keywords:
Set partitioning in hierarchical trees Artificial intelligence Pixel Computer science Coding (social sciences) Image (mathematics) Computer vision Transmission (telecommunications) Pattern recognition (psychology) Encoding (memory) Image compression Algorithm Mathematics Image processing Telecommunications Statistics

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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 Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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