3D Wavelet Transformation for Visual Data Coding With Spatio and Temporal Scalability as Quality Artifacts: Current State Of The Art

Authors

  • Shaik. Jumlesha

Keywords:

Discrete Cosine Transform, Discrete Wavelet Transform, Image Compression, spacio scalability, temporal scalability

Abstract

Several techniques based on the three2013;dimensional (3-D) discrete cosine transform (DCT) have been proposed for visual data coding. These techniques fail to provide coding coupled with quality and resolution scalability, which is a significant drawback for contextual domains, such decease diagnosis, satellite image analysis. This paper gives an overview of several state-of-the-art 3-D wavelet coders that do meet these requirements and mainly investigates various types of compression techniques those exists, and putting it all together for a conclusion on further research scope.

How to Cite

Shaik. Jumlesha. (2012). 3D Wavelet Transformation for Visual Data Coding With Spatio and Temporal Scalability as Quality Artifacts: Current State Of The Art. Global Journal of Computer Science and Technology, 12(F12), 7–21. Retrieved from https://computerresearch.org/index.php/computer/article/view/587

3D Wavelet Transformation for Visual Data Coding With Spatio and Temporal Scalability as Quality Artifacts: Current State Of The Art

Published

2012-03-15