Title :
Orthogonal U transform and its application in image compression
Author :
Guo Fenhong ; Xiong Changzhen
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ., Guangzhou, China
Abstract :
In this paper, a new unitary transform called U transform is constructed in recursion way. The U transform matrix contains piecewise constant basis vectors, piecewise linear basis vectors and piecewise second order polynomial basis vectors, and therefore U transform is a generalization of Walsh transform and Slant transform. A fast computational algorithm has been found for the transformation. The U transform is applied to digital image compression with quantization table based on Human Visual System (HVS). The experimental results indicate that U transform outperforms Slant transform in image compression.
Keywords :
data compression; image coding; matrix algebra; quantisation (signal); transforms; Slant transform; Walsh transform; human visual system; image compression; orthogonal U transform matrix; piecewise constant basis vectors; piecewise linear basis vectors; piecewise second order polynomial basis vectors; quantization table; Boats; Bridges; Nickel; fast algorithm; image compression; orthogonal transform;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658270