Image analysis – Image compression or coding
Patent
1995-01-03
1997-11-11
Johns, Andrew
Image analysis
Image compression or coding
382236, G06K 936
Patent
active
056872550
ABSTRACT:
A pre-coding method and device for improving data compression performance by removing correlation between a first original data set and a second original data set, each having M members, respectively. The pre-coding method produces a compression-efficiency-enhancing double-difference data set. The method and device produce a double-difference data set, i.e., an adjacent-delta calculation performed on a cross-delta data set or a cross-delta calculation performed on two adjacent-delta data sets, from either one of (1) two adjacent spectral bands coming from two discrete sources, respectively, or (2) two time-shifted data sets coming from a single source. The resulting double-difference data set is then coded using either a distortionless data encoding scheme (entropy encoding) or a lossy data compression scheme. Also, a post-decoding method and device for recovering a second original data set having been represented by such a double-difference data set.
REFERENCES:
patent: 4602333 (1986-07-01), Komori
patent: 5177796 (1993-01-01), Feig et al.
patent: 5448642 (1995-09-01), Yeh
English Translation of Japanese Kokai 60-186971 to Izumi et al., Sep. 1985.
"Tag Image File Format, Specification, Revision 5.0," Aldus/Microsoft Technical Memorandum, Aug. 8, 1988, pp. F-7 and F-8.
Johns Andrew
Lehmann Eileen
Marchant Robert D.
The United States of America as represented by the Administrator
LandOfFree
Pre-coding method and apparatus for multiple source or time-shif does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Pre-coding method and apparatus for multiple source or time-shif, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Pre-coding method and apparatus for multiple source or time-shif will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-1235300