作者: ÖmerN Gerek , AEnis Çetin , None
DOI: 10.1155/2007/19313
关键词: Pixel 、 Enhanced Data Rates for GSM Evolution 、 Wavelet 、 Computer vision 、 Energy (signal processing) 、 Computer science 、 Algorithm 、 Image (mathematics) 、 Filter (signal processing) 、 Encoder 、 Lossless compression 、 Artificial intelligence
摘要: The introduction of lifting implementations for image wavelet decomposition generated possibilities several applications and adaptive variations. prediction step a stage constitutes the interesting part since it aims to reduce energy one bands by making predictions using other band. In that aspect, more successful yield better efficiency in terms reduced lower this work, we present filter whose domain pixels are selected adaptively according local edge characteristics image. By judicuously selecting from expected have closer relation estimated pixel, error signal is reduced. order keep adaptation rule symmetric encoder decoder sides, lossless compression examined. Experimental results show proposed algorithm provides good results. Furthermore, calculation computationally inexpensive comparable famous Daubechies 5/3 implementation.