Color Image Compression Based Dwt

In this Book, some low complexity and efficient coding approaches are proposed to compress color images. The suggested compression schemes consist of some coding modules. The first coding modules is indicated to perform color transform (i.e., YUV, YIQ, or YCbCr), their suitability was investigated experimentally. The second coding step is the application of the wavelet transform (tree decomposition); three known wavelet filters (i.e., Harr or biorthogonal wavelet filters (Tab3/5 and Tab7/9)) have been tested as the transform basis. The wavelet transform is exploited to resample the two chrominance subbands, and used to transform the luminance subband into its approximation coefficients and wavelet (detail) coefficients.

I am an assistant professor at Baghdad University College of Science. I have a PhD (2006) in Astronomy and MsC in Physics (1999) from Baghdad University.