Object-based hybrid image and video coding scheme

Abstract

Image and video data compression has been found to be necessary to reduce the amount of data represents to meet a bit rate requirement of the up to date communication networks. This paper describes two efficient image and video coding schemes. On one hand an efficient object-based hybrid image coding (OB-HIC) scheme, and on the other hand an object-based hybrid video coding (OB-HVC) scheme. The proposed schemes are based on using the discrete wavelet transform (DWT and 3-D DWT) in conjunction with the discrete cosine transform (DCT and 3-D DCT); (DWT and DCT with image, 3-D DWT and 3-D DCT with video), to provide coding performance superior to the popular image and video coders. The proposed methods use combination of the object-based DCT and 3-D DCT coding and the high performance of the set partitioning in hierarchical tree (SPIHT/3-D SPIHT) coding. The modification of the subband image data in the wavelet domain is done based on the DCT transformation and the classification of the coefficient in the low-frequency image and video subband (LL). The modification processes provide new subband image and video data containing almost the same information of the original one but having smaller values of the wavelet coefficient. Simulation results of the proposed methods demonstrate that, with small addition in the computational complexity of the coding process, the PSNR performance of the proposed algorithms are much higher than that of the SPIHT and 3-D SPIHT test coder and some of the famous image and video coding techniques.