Highly scalable hybrid image coding scheme

Abstract

This paper describes a highly scalable hybrid image coding scheme (HS-HIC). The proposed hybrid coding scheme combines simply modification of the data in the wavelet domain and the high performance of the set partitioning in hierarchical trees (SPIHT) coding. The modification of the subband image data is done based on the transformation of the high-frequency subband (details) in the wavelet domain. It is based on linear modification of 9-subband image data within three-layer in the wavelet domain. Except the image data in LL3, all other image data will be linearly modified based on the discrete Fourier transform (DFT) components. The modification process provides a new subband image data containing almost the same information as the original one but having a smaller frequency spectrum. The modified data is then located in the corresponding position and the simple SPIHT coder followed by adaptive arithmetic coder is applied on the resulting hierarchical representation to generate the symbol stream. Simulation results demonstrate that, with small addition in the computational complexity of the coding process, the PSNR performance of the proposed algorithm is much higher than that of the SPIHT test coder and some of famous image coding techniques.