C. Eswaran, R. Shyamsunder, and N. Sriraam (Malaysia)
Medical Imaging and Image Processing,
Video Compression, Telemedicine, 3-D Transforms
This paper describes compression of patient videos
using 3-D block transforms, namely discrete cosine,
Hartley and Fourier. The transforms are applied on video
image blocks of sizes 8x8xM where M represents the
number of temporal frames considered in the transform.
The resultant transform coefficients are quantized and then
encoded using a combination of run length and Huffman
coding schemes to achieve maximum compression. The
performances of the three transforms are evaluated in
terms of peak signal to noise ratio and bit rate. It is found
from the experimental results, that the 3-D discrete cosine
transform gives the best result.