Paper Details: Downloads: 489
Serial Number: P1150804010
Title: Qualitative Image Compression Algorithm Relying on Quadtree
Authors: A.A. El-Harby and G.M. Behery
Abstract: This paper presents an image compression algorithm that has the ability to divide the original grey level image into unoverlapped blocks depending on a threshold value. The proposed algorithm is based on quadtree. It can compress and decompress the image in easy way using two stacks instead of tree. In the compression process, the proposed technique stores the information of all blocks, for instance the upper left coordinate, size, minimum, and difference values in a stack, and the divided blocks are numbered in effective way. This information will be used to decompress the image again. It was found that the algorithm provides a high compression ratio ranged between 0.12 and 0.68.
Keywords: quadtree, image compression, image processing
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 8
Issue: 3
Submission Date: 1/1/2008 12:00:00 AM
Review Date: 5/1/2008 12:00:00 AM
Publishing Date: 12/1/2008 12:00:00 AM
Article Downloads: 489
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