Wavelet based Image Coding Schemes: A Recent Survey

Rehna V. J and Jeya Kumar M. K,Noorul Islam University, India

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: https://airccse.org/journal/ijsc/papers/3312ijsc08.pdf

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International Journal on Soft Computing ( IJSC )

International Journal on Soft Computing ( IJSC )

ISSN: 2229 - 6735 [Online] ; 2229 - 7103 [Print]

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Scope & Topics

Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field

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●     Fuzzy Systems ●     Neural Networks ●     Machine learning ●     Probabilistic Reasoning ●     Evolutionary Computing ●     Pattern recognition ●     Hybrid intelligent systems, ●     Software agents ●     Morphic Computing ●     Image processing, ●     E-commerce, e-medicine

●     Rough Sets ●     Symbolic machine learning, ●     Wavelet ●     Signal or Image Processing ●     Vision Recognition ●     Biomedical Engineering ●     Telecommunications ●     Reactive Distributed AI ●     Nano & Micro-systems ●     Data Visualization

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Important Dates

                     

·         Submission Deadline  : October 26, 2019

·         Notification                   : November 26, 2019

·         Final Manuscript Due   : December 04, 2019

·         Publication Date           : Determined by the Editor-in-Chief

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WAVELET BASED IMAGE CODING SCHEMES: A RECENT SURVEY

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

http://airccse.org/journal/ijsc/current2012.html