Image Compression Technique Based on integer Wavelet and Seam Carving

The project proposes the seam primarily based on economical compression. In mobile multimedia system communications, image retargeting is mostly needed at the user end. However, content-based image retargeting is with high machine quality and isn't appropriate for mobile devices with restricted computing power. The work conferred during this paper addresses the increasing demand of signal delivery to terminals with discretionary resolutions, while not serious machine burden to the receiving end. During this paper, the principle of seam carving is incorporated into a wave codec (i.e., SPIHT). For every input image, block-based seam energy map is generated within the pel domain and therefore the whole number wave rework (IWT) is performed for the retargeted image. These are encoded in keeping with the resultant seam energy map. Experimental results show that, the retargeted images shows better PSNR and MSE values as well as good compression ratios without loss of data.