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Journal of Applied Engineering Science
2019, vol. 17, br. 3, str. 284-294
jezik rada: engleski
vrsta rada: izvorni naučni članak
objavljeno: 10/10/2019
doi: 10.5937/jaes17-21031
Creative Commons License 4.0
Structural adaptive anisotropic NAS-RIF for biomedical image restoration
(naslov ne postoji na srpskom)
Suranaree University of Technology, Thailand

e-adresa: phorkaew@sut.ac.th

Sažetak

(ne postoji na srpskom)
Blind image deconvolution is an ill-posed problem that attempts to restore an acquired image degraded by unknown PSF. A variational BID implementation, called NAS-RIF, is known for being robust but prone to poor convergence under low SNR and unrealistic support. Motivated by simple yet efficient fidelity metric, this paper presents an improved NAS-RIF by reducing adverse effect of inverse high-pass filter and computationally intensive pre-deterministic noise removal, by adaptively incorporating anisotropic structural property within local neighborhood seamlessly in NAS-RIF cost function. With an automatic support region estimation, the entire deconvolution process was fully automatic. The experimental results reported herein indicated that the enhanced structural adaptive anisotropic NAS-RIF had better convergence condition, while maintaining the underlying image fidelity.

Ključne reči

Blind Deconvolution; NAS-RIF; Structural Adaptive Filter

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