Quadtree-segmented image coding schemes using vector quantization and block truncation coding

YuChen Hu; Chin-Chen Chang

doi:10.1117/1.602384

1 February 2000 Quadtree-segmented image coding schemes using vector quantization and block truncation coding

YuChen Hu, Chin-Chen Chang

Optical Engineering, Vol. 39, Issue 2, (February 2000). https://doi.org/10.1117/1.602384

Three novel image compression schemes are proposed here for multimedia applications. The schemes are designed to combine the advantages of vector quantization and block truncation coding based on quadtree segmentation. A new vector quantization scheme, called subsampling VQ (SVQ), is proposed and used in the new schemes. The spatial correlation between neighboring image blocks and uniformity in variable-sized image blocks is exploited in these schemes. Simulation results show that the new schemes have succeeded in achieving better coding performance with subjective image quality at low bit rates.

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YuChen Hu and Chin-Chen Chang "Quadtree-segmented image coding schemes using vector quantization and block truncation coding," Optical Engineering 39(2), (1 February 2000). https://doi.org/10.1117/1.602384

Published: 1 February 2000

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