The Use of Cubic Bezier Interpolation, Biorthogonal Wavelet and Quadtree Coding to Compress Color Images
Shaymaa D. Ahmed *
Department of Computer Science, College of Science, Baghdad University, Baghdad, Iraq.
Loay E. George
Department of Computer Science, College of Science, Baghdad University, Baghdad, Iraq.
N. Dhannoon
Department of Computer Science, College of Science, Al-Nahrain University, Baghdad, Iraq.
*Author to whom correspondence should be addressed.
Abstract
In this paper, an efficient method for compressing color image is presented. It allows progressive transmission and zooming of the image without need to extra storage. The proposed method is going to be accomplished using cubic Bezier surface (CBI) representation on wide area of images in order to prune the image component that shows large scale variation. Then, the produced cubic Bezier surface is subtracted from the image signal to get the residue component. Then, bi-orthogonal wavelet transform is applied to decompose the residue component. Both scalar quantization and quad tree coding steps are applied on the produced wavelet sub bands. Finally, adaptive shift coding is applied to handle the remaining statistical redundancy and attain efficient compression performance.
The results of conducted tests indicated the developed compression system shows outstanding compression performance. The compression ratio is increased with the increase of wavelet's passes and with decrease of block size.
Keywords: Lossless image compression, transform coding, wavelet compression, shift coding.