Abstract

Several techniques based on the three–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
JUMLESHA, DR.CH.SATHYANARAYANA, Shaik.. 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, [S.l.], aug. 2012. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/587>. Date accessed: 27 jan. 2021.