We have developed an advanced vector quantization (VQ) encoding hardware for still image encoding systems. By utilizing needless calculation elimination methods, the computational cost of VQ encoding is reduced to 40% or less, while maintaining the accuracy of full-search VQ. We have successfully implemented the advanced encoding method and adaptive resolution VQ (AR-VQ), which realizes a compression ratio over 1/200 while maintaining image quality, into a still image encoding processor. The processor can compress a still image of 1600 x 2400 pixels within one second, which is 60 times faster than software implementation on current PCs.
|Title of host publication
|Proceedings of the ASP-DAC 2003 Asia and South Pacific Design Automation Conference
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 2003
|Asia and South Pacific Design Automation Conference, ASP-DAC 2003 - Kitakyushu, Japan
Duration: 2003 Jan 21 → 2003 Jan 24
|Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
|Asia and South Pacific Design Automation Conference, ASP-DAC 2003
|03/1/21 → 03/1/24