WAVELET BASED IMAGE CODING SCHEMES: A
RECENT SURVEY
Rehna V. J1
and Jeya Kumar M. K2
1Department of Electronics & Communication Engineering, Noorul Islam University,
Kumarakoil, Tamil Nadu
rehna_vj@yahoo.co.in
2Department of Computer Applications, NIU, Kumarakoil, Tamil Nadu
jeyakumarmk@yahoo.com
ABSTRACT
A variety of new and powerful algorithms have been developed for image compression over the years.
Among them the wavelet-based image compression schemes have gained much popularity due to their
overlapping nature which reduces the blocking artifacts that are common phenomena in JPEG
compression and multiresolution character which leads to superior energy compaction with high quality
reconstructed images. This paper provides a detailed survey on some of the popular wavelet coding
techniques such as the Embedded Zerotree Wavelet (EZW) coding, Set Partitioning in Hierarchical Tree
(SPIHT) coding, the Set Partitioned Embedded Block (SPECK) Coder, and the Embedded Block Coding
with Optimized Truncation (EBCOT) algorithm. Other wavelet-based coding techniques like the Wavelet
Difference Reduction (WDR) and the Adaptive Scanned Wavelet Difference Reduction (ASWDR)
algorithms, the Space Frequency Quantization (SFQ) algorithm, the Embedded Predictive Wavelet Image
Coder (EPWIC), Compression with Reversible Embedded Wavelet (CREW), the Stack-Run (SR) coding and
the recent Geometric Wavelet (GW) coding are also discussed. Based on the review, recommendations and
discussions are presented for algorithm development and implementation.
KEYWORDS
Embedded Zerotree Wavelet, multi- resolution, Space Frequency Quantization, Stack-Run coding, Wavelet
Difference Reduction.
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/3312ijsc08.pdf
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