Title :
Hyperanalytic Thresholding
Author :
Olhede, Sofia Charlotta
Author_Institution :
Dept. of Math., Imperial Coll. London, UK
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;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312693