An adaptive image coding technique using interpolative mixed VQ
Zhenga He, Jihong Zhang, Yiming Mao · 2003
The authors developed a new adaptive image coding technique using interpolative mixed vector quantization (VQ) which mixes the 2D discrete cosine transform (DCT) with VQ. A median filter is first used to eliminate fine noise while not smearing the edges. After subsampling, the image is encoded by an adaptive mixed VQ coding scheme. At the receiver, a finite-impulse-response (FIR) median hybrid filter is used to interpolate missing pixels after subsampling. Some simulation results are given. It was found that high-quality coded images were obtained at a bit rate from about 0.25 to 0.5 b.p.p.>