Image analysis – Image compression or coding – Pyramid – hierarchy – or tree structure
Reexamination Certificate
2006-06-27
2006-06-27
Dang, Duy M. (Department: 2627)
Image analysis
Image compression or coding
Pyramid, hierarchy, or tree structure
Reexamination Certificate
active
07068848
ABSTRACT:
A region of interest coding method based on the SPIHT algorithm, in which more bits are allocated with respect to a region of interest to quickly compress and restore an image, is provided. The region of interest coding method is applied to a multiple resolution coding operation. In the coding method, an image is coded using the SPIHT algorithm before a region of interest is set. When a region of interest is defined based on a region of interest mask and a parent mask, coefficients are coded with respect to a bit plane defined by a user, and a compensation coding operation is performed with respect to coefficients not related with the region of interest. The coding operation is performed based on the SPIHT algorithm by the amount of bits permitted in the bit plane of the remaining coefficients. Therefore, it is possible to implement compression and restoration of various images.
REFERENCES:
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patent: 6801665 (2004-10-01), Atsumi et al.
Atsumi et al. [“Lossy/Lossless Regions-of-interest Image Coding Based on Set Partitioning in Hierarchical Trees”, IEEE 1998, pp. 87-91].
Lee Chul-Soo
Park Hyun-Wook
Park Keun-Hyeong
Cantor & Colburn LLP
Dang Duy M.
Korea Advanced Institute of Science and Technology
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