[ Compression d'images à l'aide d'un codage Hybride Huffman et Shanon-Fano ]
Volume 11, Issue 3, June 2015, Pages 528–540
Hassane ROUKHE1, Ahmed ROUKHE2, and Abdenbi BOUZID3
1 Institut Supérieur des Métiers de l'Audiovisuel et du Cinéma - ISMAC, Departement Techniques et Ingénierie, Morocco
2 Department de physique, Université Moulay Ismaïl, Faculté des sciences Meknès, Meknès, Morocco
3 Department de physique, Université Moulay Ismaïl, Faculté des sciences Meknès, Meknès, Morocco
Original language: French
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The very great volume of information and data in a digital image can cause practical problems. Transmitting an image from one computer to another and/or archiving are very expensive due to the abundance of data representing the image in the form of bits. We present in this article a compression method, which takes in account the coding hybrid of huffman and shanon Fano, which has been applied to imagery and data.
We've determined the method limit by considering different forms of images histogram. The results showed that the method is efficient when the number of bit by pixel is of the same order of magnitude as entropy.
Author Keywords: Coding Hybrid, Coding of Huffman, Coding of Shanon Fano, entropy, redundancy of codes, compression, decode.
Volume 11, Issue 3, June 2015, Pages 528–540
Hassane ROUKHE1, Ahmed ROUKHE2, and Abdenbi BOUZID3
1 Institut Supérieur des Métiers de l'Audiovisuel et du Cinéma - ISMAC, Departement Techniques et Ingénierie, Morocco
2 Department de physique, Université Moulay Ismaïl, Faculté des sciences Meknès, Meknès, Morocco
3 Department de physique, Université Moulay Ismaïl, Faculté des sciences Meknès, Meknès, Morocco
Original language: French
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The very great volume of information and data in a digital image can cause practical problems. Transmitting an image from one computer to another and/or archiving are very expensive due to the abundance of data representing the image in the form of bits. We present in this article a compression method, which takes in account the coding hybrid of huffman and shanon Fano, which has been applied to imagery and data.
We've determined the method limit by considering different forms of images histogram. The results showed that the method is efficient when the number of bit by pixel is of the same order of magnitude as entropy.
Author Keywords: Coding Hybrid, Coding of Huffman, Coding of Shanon Fano, entropy, redundancy of codes, compression, decode.
Abstract: (french)
Un grand volume d'informations et de données dans une image numérique peut entraîner des problèmes pratiques. La transmission d'une image d'un ordinateur à un autre et/ou l'archivage sont très coûteux en raison de l'abondance des données représentant l'image sous forme de bits. Nous présentons dans cet article une méthode de compression qui prend en considération le codage hybride de Huffman et de Shanon-Fano, qui a été appliquée à des images et des données.
Nous avons déterminé la limite de la méthode en considérant des images à différentes formes d'histogramme. Les résultats ont montré que la méthode est efficace dans le cas où le nombre de bits par pixel est du même ordre de grandeur que l'entropie.
Author Keywords: Codage Hybrid, Codage de Huffman, Codage de Shanon Fano, entropie, redondance de codes, compression, décodage.
How to Cite this Article
Hassane ROUKHE, Ahmed ROUKHE, and Abdenbi BOUZID, “Compression of imagery to help of a coding Hybrid Huffman and Shanon-Fano,” International Journal of Innovation and Applied Studies, vol. 11, no. 3, pp. 528–540, June 2015.
