文献类型：期刊文献

英文题名：Block-based compressed sensing of image using directional Tchebichef transforms

作者：Li, Qian[1]; Zhu, Hongqing[1]

机构：[1] Department of Electronics and Communications Engineering, East China University of Science and Technology, Shanghai 200237, China

年份：2012

起止页码：2207

外文期刊名：Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

收录：EI(收录号：20130415925314)

语种：英文

外文关键词：Mathematical transformations - Image analysis - Image reconstruction - Image compression - Numerical methods

摘要：It is well known that the implementation of Tchebichef transforms (TT) does not involve any numerical approximation, since the basis set is orthogonal in the discrete domain of the image coordinate space. Therefore, it can be effectively used in the analysis of images processing area. However, the direct computation of discrete orthogonal TT is very expensive. In this study, we introduce a new framework for TT based on the discrete Tchebichef polynomials and develop a new block-based directional Tchebichef transforms (BDTT) to compensate for the defects of the direct computation TT in the application of image description. Moreover, this new algorithm is integrated into the compressed sensing (CS). By choosing the best directional mode of TT, the proposed methods simultaneous realizes sampling, compression of image, and better image description. Several numerical experiments demonstrate that the proposed algorithm has better performance than the conventional methods. ? 2012 IEEE.