Method and apparatus for enhancing images by emphasis processing

Image analysis – Image transformation or preprocessing – Multilayered image transformations

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

382274, 348398, G06K 954

Patent

active

059076429

ABSTRACT:
An original image is transformed into a multi-resolution space and thereby decomposed into images, each of which is of one of a plurality of different frequency bands. An operation for multiplying by an emphasis coefficient is carried out on an image of a predetermined frequency band, which is among the plurality of the different frequency bands. The emphasis coefficient is set such that the degree of emphasis for an image portion in the image of the predetermined frequency band may become higher than the degree of emphasis for the other portions in the image of the predetermined frequency band, the image portion corresponding to a portion in an image of a frequency band lower than the predetermined frequency band, at which portion the absolute value of the signal value of the image of the lower frequency band is comparatively large. An inverse multi-resolution transform is carried out on the image of the predetermined frequency band, which has been obtained from the operation for multiplying by the emphasis coefficient, and the images of the other frequency bands. A processed image is thereby obtained.

REFERENCES:
patent: 5166810 (1992-11-01), Sorimachi et al.
patent: 5461655 (1995-10-01), Vuylsteke et al.
patent: 5467404 (1995-11-01), Vuylsteke et al.
patent: 5491514 (1996-02-01), Fukuda et al.
patent: 5526446 (1996-06-01), Adelson et al.
patent: 5644662 (1997-07-01), Vuylsteke
"Contrast Enhancement Using Burt Pyramid Processing", R. F. Bessler and J.H. Arbeiter 1986 source for Information Display (SID) International Symposium, Digest of Technical Papers pp. 352-353, May 1986.
"The Laplacian Pyramid as a Compact Image Code", Peter J. Burt and Edward H. Adelson IEEE Transactions on Communications, Com 31 (1983) 532-540.
"Multiscale Image Contrast Amplification", Pieter Vuylsteke and Emile Schoeters SPIE 2167 (1994) 551-560.
"Fast Filter Transforms for Image Processing", Peter J. Burt, Computer Graphics and Image Processing 16 (1981) 20-51.
"Fast Computation of the Difference of Low-Pass Transform", J. L. Crowley and Richard M. Stern, IEEE Transactions on Pattern Analysis and Machine Intelligence 6 pp. 212-222, 1984.
"A Theory for Multiresolution Signal Decomposition: The Wavelet Representation" Stephane G. Mallat, IEEE Transactions on Pattern Analysis and Machine Intelligence II (1989) 674-693.
"Wavelets and Signal Processing", Oliver Rioul and Martin Vetterli, IEEE Spectrum Magazine (1991) 14-38.
"Zero-Crossing of a Wavelet Transform", Stephane Mallat, IEEE Transactions on Information Theory 37 (1991) 1019-1033.
"Contrast Enhancement by Dyadic Wavelet Analysis", Andrew Laine, Jian Fan, Sergio Schuler, Engineering in Medicine and Biology Society, Engineering Advances: New Opportunities for Biomedical Engineers, Proc. 16th Ann. Intl. Conf. of IEEE, 1994.
"Mammographic Feature Enhancement by Multicate Analysis," Andrew F. Laine, Sergio Schuler, Jian Fan, and Walter Huda, IEEE Transactions on Medical Imaging 13 (1994) 725-740.
"Image Compression by Gabor Expansion", T. Ebrahimi and Murat Kunt, Optical Engineering 30 (1991) 873-880.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method and apparatus for enhancing images by emphasis processing does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and apparatus for enhancing images by emphasis processing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for enhancing images by emphasis processing will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-406507

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.