Title :
A stable direct algorithm for image retrieval from its noisy Fourier transform phase
Author :
Lyuboshenko, I.V. ; Akhmetshin, A.M.
Author_Institution :
Dept. of Inf. Process. Syst., Dniepropetrovsk State Univ., Ukraine
Abstract :
Owing to the essentially ill-posed nature of the problem of restoration of finite signals and images from their Fourier transform phases, the error in the phase results in large undesired fluctuations in the solution, obtained both by known iterative and direct approaches. The problem of restoration of images from their noisy Fourier transform phases is addressed in relation to the existing solution methods. A new regularizing algorithm is proposed that significantly improves the estimate of an image restored from its noisy phase
Keywords :
Fourier transforms; image restoration; noise; numerical stability; computation speed; finite signal restoration; ill-posed problem; image estimation; image retrieval; iterative method; noisy Fourier transform phase; phase distortion; phase error; regularizing algorithm; stable direct algorithm; Additive noise; Artificial intelligence; Difference equations; Digital signal processing; Euclidean distance; Fourier transforms; Image restoration; Image retrieval; Phase noise; Signal processing algorithms;
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
DOI :
10.1109/DSPWS.1996.555509