Abstract

An image processing patent technique for the improvement of entropic compression with digital images has been presented. “Twodimension wavelet transform” (2D-DWT), “two-dimension discrete cosine transform” (2D-DCT) and multi-resolution perfect reconstruction structures, with quincunx filter and grid are used for image processing and simulations using MATLAB, up to 2-level of analysis and synthesis. The possibility of suppressing the high and middle frequencies components in order to increase compression rates was considered. As a result, higher rates of entropic compression were obtained with the application of 2D-DCT after 2D-DWT in the sub-images generated from the multiresolution perfect reconstruction structures. High quality reconstructed images were obtained, even when high and middle frequencies components were suppressed.

Keywords: 2D-DCT, 2D-DWT, compression, cosine transform, entropy, high quality reconstructed image, image processing, multiresolution decomposition, perfect reconstruction structures, wavelet transform.

Graphical Abstract