On MPEG contributions, we have been working on encoder optimization issues, and our proposed fast motion estimation algorithms, Diamond Search (DS) and its extended version Motion Vector Field Adaptive Search Technique (MVFAST), have been adopted by the MPEG-4 standards in 1999 and 2000, respectively. Our works have been well cited in the professional literature, used in laboratories worldwide
for benchmarking, and incorporated into digital video products that require compression engine.
(Related links: The first item, which is of our DS work, appeared in http://scholar.google.com/scholar?q=kai-kuang+ma&ie=UTF-8&oe=UTF-8&hl=en, shows
a very high number of citations!! Furthermore, Intel has a detailed study of DS and DS-based approaches, regarding the aspect of memory access while exploiting these algorithms, at http://www.intel.com/cd/ids/developer/asmo-na/eng/182345.htm?page=2.)
Our image denoising research (for impulse or salt-and-pepper
noise case) has been recognized as the benchmarking performance reference in this area, with
a stunning performance breakthrough which is far exceeded all existing methods.
It also yields a high number of citations as indicated in the
above-mentioned link.
The latest and with best performance can be found in "A Switching Median Filter With
Boundary Discriminative Noise Detection for Extremely Corrupted
Images," IEEE Trans. on Image Processing, Vol. 15, No. 6, pp.
1506-1516, June 2006. Furthermore, these works have been cited and used as
textbook material in the most well-received textbook, Digital
Image Processing, 3rd Edition, R.C. Gonzalez and R.E. Woods,
Prentice Hall, 2008.
