An edge-sensing predictor in wavelet lifting structures for lossless image coding

作者: ÖmerN Gerek , AEnis Çetin , None

DOI: 10.1155/2007/19313

关键词: PixelEnhanced Data Rates for GSM EvolutionWaveletComputer visionEnergy (signal processing)Computer scienceAlgorithmImage (mathematics)Filter (signal processing)EncoderLossless compressionArtificial 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.

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