Phase Retrieval Based on a Snake for Image Reconstruction

Keiko KONDO  Miki HASEYAMA  Hideo KITAJIMA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E90-D   No.1   pp.283-287
Publication Date: 2007/01/01
Online ISSN: 1745-1361
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section LETTER (Special Section on Advanced Image Technology)
Category: 
Keyword: 
image reconstruction,  phase retrieval,  snake,  measured area,  

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Summary: 
A new phase retrieval method using an active contour model (snake) for image reconstruction is proposed. The proposed method reconstructs a target image by retrieving the phase from the magnitude of its Fourier transform and the measured area of the image. In general, the measured area is different from the true area where the target image exists. Thus a snake, which can extract the shape of the target image, is utilized to renew the measured area. By processing this renewal iteratively, the area obtained by the snake converges to the true area and as a result the proposed method can accurately reconstruct a target image even when the measured area is different from the true area. Experimental results show the effectiveness of the proposed method.