Desensitisation of medical images restoration under crude estimates of mobile radio channels

Cisneros, Guillermo; Bernués, Emiliano; Rodríguez, Idoia; Santiago, Miguel Angel; Álvarez, F.

doi:10.1109/icip.2004.1418753

Cited by 1 publication

(2 citation statements)

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“…Eventually, a way to numerically contrast the restoration results is obtained by an image quality parameter named as the improvements on the signal-to-noise ratio, that is, ISNR, (36) where x(i, j), y(i, j), and x(i, j) represent the M × N sized images x, y, and x, respectively. The more similar the restored image x is to the original image x, the higher the parameter ISNR becomes.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Therefore, our goal now aims to demonstrate the desensitisation behaviour of our proposed restoration filter G , showing which conditions lead to successful results, purposely, the total number of iterations K applied to each pair (ω i , ω j ). A first approach to this idea was initially coped with in [36] where some preliminary results meant opening steps to the current fully study throughout this paper.…”

Section: Restoration Modelmentioning

confidence: 99%

See 1 more Smart Citation

Iterative Desensitisation of Image Restoration Filters under Wrong PSF and Noise Estimates

Santiago

Cisneros

Bernués

2007

EURASIP J. Adv. Signal Process.

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The restoration achieved on the basis of a Wiener scheme is an optimum since the restoration filter is the outcome of a minimisation process. Moreover, the Wiener restoration approach requires the estimation of some parameters related to the original image and the noise, as well as knowledge about the PSF function. However, in a real restoration problem, we may not possess accurate values of these parameters, making results relatively far from the desired optimum. Indeed, a desensitisation process is required to decrease this dependency on the parameter errors of the restoration filter. In this paper, we present an iterative method to reduce the sensitivity of a general restoration scheme (but specified to the Wiener filter) with regards to wrong estimates of the said parameters. Within the Fourier transform domain, a sensitivity analysis is tackled in depth with the purpose of defining a number of iterations for each frequency element, which leads to the aimed desensitisation regardless of the errors on estimates. Experimental computations using meaningful values of parameters are addressed. The proposed technique effectively achieves better results than those obtained when using the same wrong estimates in the Wiener approach, as well as verified on an SAR restoration.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Restoration Modelmentioning

confidence: 99%