Fast new approach to super-resolution

Hamid Fahimi

doi:10.1117/12.217391

22 August 1995 Fast new approach to superresolution

Hamid Fahimi

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217391
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

A new iterative approach for the spectral extrapolation of an image is introduced. In the space domain it is only assumed that the image is non-negative and in the frequency domain it is assumed that its low frequency components are known. A modified version of the method of projections onto convex sets with relaxed parameters is implemented. It is shown that the proposed iterative method is nonexpansive and in some cases it is contractive and given the same constraints, it converges faster than Gerchberg iterative superresolution algorithm and gives a better result. It is also shown that in the cases when the algorithm becomes contractive it performs better in the presence of small amounts of noise in the low frequency components.

Citation Download Citation

Hamid Fahimi "Fast new approach to superresolution", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217391

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