Multiresolution Browsing of Pathology Images Using Wavelets
James Ze Wang, John Nguyen,
Kin-Koi Lo, Christine Law and Donald Regula
Stanford University, Stanford, CA 94305
Abstract:
Digitized pathology images typically have very high resolution, making
it difficult to display in their entirety on the computer screen and
inefficient to transmit over the network for educational
purposes. Progressive zooming of pathology images is desirable despite
the availability of inexpensive networking bandwidth. An efficient
progressive image resolution refining system for on-line distribution
of pathology image using wavelets has been developed and is discussed
in this paper. The system is practical for real-world applications,
pre-processing and coding each 24-bit image of size 2400 x 3600 within
40 seconds on a Pentium II PC. The transmission process is in
real-time. Besides its exceptional speed, the algorithm has high
flexibility. The server encodes the original pathology images without
loss. Based on the image request from a client, the server
dynamically generates and sends out the part of the image at the
requested scale and quality requirement. The algorithm is expandable
for medical image databases such as PACS.
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Last Modified:
Tue Jun 29 17:47:47 PDT 1999
© 1999, James Z. Wang