Theoretical Improvement of the Image Compression Method Based on Wavelet Transform

Abstract

Image compression was performed by several techniques for example: JPEG and JPEG2000 are lossy compression methods. These methods performing scalar quantization on the values obtained after transformation. The disadvantage of the scalar quantization is it does not allow exploiting the spatial correlation between pixels in the image. To improve the compression, we quantified together of values simultaneously it is definition of the vector quantization. In this paper, we studied and modeled an approach to images compression by wavelet transform and Kohonen network. We show the role of null moments in wavelet for improve the compression and we calculate the compression ratio based on compression parameters.