Title :
2-D spectral factorization: classical and nonnegativity constrained
Author_Institution :
Pennsylvania State Univ., University Park, PA, USA
Abstract :
The author reviews recent results which can contribute to the solution of the problem of nonnegativity-constrained spectral factorization for image reconstruction from autocorrelation data. This problem occurs in several high-frequency areas where only partial information about an image or signal is available. The remaining difficulties in obtaining a complete analytical solution to the problem and the manner in which those difficulties may be circumvented are also considered
Keywords :
picture processing; spectral analysis; 2-D spectral factorization; autocorrelation data; high-frequency areas; image reconstruction; nonnegativity constrained; partial information; Autocorrelation; Diffraction; Frequency; Image processing; Image reconstruction; Image restoration; Image retrieval; Information retrieval; Iterative algorithms; Polynomials;
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo
DOI :
10.1109/ISCAS.1988.14937
