A new approach for improvement of fractal image encoding
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 4
Abstract
In this paper, we propose, in a first part, an approach to reduce the computational complexity of fractal image ncoding by using the Shannon entropy (APENT). A speedup factor of 8 is obtained while image quality is still preserving. In a second part, we improve the APENT by using the AP2D approach that we have proposed in a previous study. We refer to this proposed approach as AP2D-ENT. The experimental results show that AP2D-ENT is effective in speeding up the encoding time ithout decreasing the image quality. Indeed, a speedup factor of 18 is reached for the test images with an increase of the ompression ratio (CR) and a good image quality.
Authors and Affiliations
Sofia Douda , Abdelhakim El Imrani , Abdallah Bagri
Keywords
Related Articles
- EP ID EP129440
- DOI -
- Views 111
- Downloads 0
Graph based Approach and Clustering of Patterns (GACP) for Sequential Pattern Mining
The sequential pattern mining generates the sequential patterns. It can be used as the input of another program for retrieving the information from the large collection of data. It requires a large amount of memory as we...
Cloud Computing: A solution to Geographical Information Systems (GIS) Cloud Computing and GIS
Geographical Information Systems or Geospatial Information Systems (GIS) is a collection of tools that captures, stores, analyzes, manages, and presents data that are linked to geographical locations. GIS plays an essent...
A Context-Dependent Trust Model for the MAC Layer in LR-WPANs
Low rate wireless personal networks are vulnerable to several attacks focused on the Media Access Layer. Malicious or faulty nodes can subvert CSMA/CA and GTS allocation algorithms, achieving MAC unfairness in order to o...
Improving the Performance of K-Means Clustering For High Dimensional Data Set
Clustering high dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions. Multiple dimensions are hard to think in, impossible to visualize, and, due to the exponent...
SEVERITY BASED CODE OPTIMIZATION : A DATA MINING APPROACH
Billions of lines of code are currently running in Legacy systems, mainly running machine critical systems. Large organizations and as well as small organizations extensively rely on IT infrastructure as the backbone. Th...