Image coding using Dual Tree Complex Wavelet Transform

In this paper, we propose Dual Tree Complex Wavelet Transform for image coding, so here we verify how the projection properties of the DT-CWT can be exploited to concentrate signal energy in a few wavelet coefficients greater than a given threshold, while maintaining image reconstruction quality. These non-zero coefficients are forced to compensate using an iterative transform projection loop with error feedback. Also, experiment with different thresholding and error gain strategies, here we use IP-NS system (Iterative projection based noise shaping system). The benefits of applying IP-NS to DT-CWT signals to provide preliminary or simulation results & develop a new and unique system for achieving these transform coding aims of coefficient elimination and compensation. The system is based on iterative projection of signals between the image domain and transform domain.