DocumentCode
1568518
Title
Hyperanalytic Thresholding
Author
Olhede, Sofia Charlotta
Author_Institution
Dept. of Math., Imperial Coll. London, UK
fYear
2006
Firstpage
1421
Lastpage
1424
Abstract
A new thresholding criterion is introduced, and combined with a local function decomposition, to form an estimate of a deterministic image immersed in white noise. The purpose of the new threshold is to construct image estimates exhibiting continuity jointly across spatial location and spatial frequency. The new threshold criterion is based on the magnitudes of the local decomposition coefficients of the image and phase-shifted versions of the image. Two possible sets of phase-shifted versions are used, and suitable universal thresholds noted. The additional computational cost of the proposed procedure is minor, and thus it makes an attractive improvement to existing thresholding methodology. Examples are given where the reconstructed image, using the new threshold, has improved visual characteristics, as well as a reduced mean square error.
Keywords
image segmentation; white noise; local function decomposition; phase-shifted version; thresholding criterion; white noise; Educational institutions; Frequency estimation; Image coding; Image reconstruction; Image representation; Mathematics; Mean square error methods; Tensile stress; Wavelet coefficients; White noise; Hilbert transforms; Image Reconstruction; Image Representation; Threshold Coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2006 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1522-4880
Print_ISBN
1-4244-0480-0
Type
conf
DOI
10.1109/ICIP.2006.312693
Filename
4106806
Link To Document