1 July 1991 Hybrid image coding scheme in incorporating human visual system characteristics
Author Affiliations +
In this paper, a hybrid image coding scheme combining the advantages of both classified vector quantization (CVQ) and discrete cosine transform (DCT) is proposed. An image vector is classified according to its content activity. Vectors of low activity (shade vectors) are coded using CVQ. For vectors of high activity (edge vectors), DCT is used. To enhance the visual quality of the decoded image, the modulation transfer function (MTF) of the human visual system (HVS) model is incorporated into the DCT coding algorithm. Simulation results showed that the proposed approach allowed good subjective image quality to be obtained at relatively low bit rates. The improvement in quality is even more pronounced at low bit rates, if this scheme is compared to those schemes employing CVQ or DCT alone.
King N. Ngan, Hee C. Koh, Wai C. Wong, "Hybrid image coding scheme in incorporating human visual system characteristics," Optical Engineering 30(7), (1 July 1991). https://doi.org/10.1117/12.55897 . Submission:


Comparison of the coding efficiency of perceptual models
Proceedings of SPIE (April 20 1995)
On Transparent Quality Image Coding Using Visual Models
Proceedings of SPIE (August 15 1989)
Entirely psychovisual-based subband image coding scheme
Proceedings of SPIE (April 21 1995)
Blockiness in JPEG-coded images
Proceedings of SPIE (May 19 1999)

Back to Top