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 100
- Downloads 0
EVALUATION OF CBIR APPROACHES FOR DIFFERENTLY SIZED IMAGES
CBIR is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. An experimental comparison of a number of different color des...
Comparative BER Performance of M-ary QAM-OFDM System in AWGN & Multipath Fading Channel
OFDM (Orthogonal Frequency Division Multiplexing) is a multicarrier technique where linearly modulated data streams are divided into number of substreams each occupying a bandwidth less than the total bandwidth of the si...
Classification of Indian Stock Market Data Using Machine Learning Algorithms
Classification of Indian stock market data has always been a ertain appeal for researchers. In this paper, first time ombination of three supervised machine learning algorithms, lassification and regression tree (CART...
Image Retrieval using Associativity between ABIR and CBIR Features
The present paper provides the information about image retrieval using the concept of Attribute Base Image Retrieval (ABIR) and (CBIR) Content Base Image Retrieval and the fusion of both method (visual and textual) which...
Efficient Lossless Colour Image Compression Using Run Length Encoding and Special Character Replacement
Image compression, in the present context of heavy network traffic, is going through major research and development. The lossless compression techniques, presently in practise, follow three basic paradigms – character re...