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Papers Published

1. Robinson, MD; Farsiu, S; Lo, JY; Toth, CA, Efficient restoration and enhancement of super-resolved X-ray images (December, 2008), pp. 629-632, IEEE [doi] .
   (last updated on 2024/12/31)

   Abstract:
   Our previous work demonstrates the ability to reconstruct a single higher resolution image from fusing a collection of multiple extremely low-dosage aliased X-ray images. While this computationally efficient method eliminates aliasing artifacts associated with undersampling, it does not address the problem of deblurring the reconstructed image. In this paper, we present a fast nonlinear deblurring algorithm, specifically designed to address the nonstationary noise associated with multiframe reconstructed images. The algorithm uses a combination of Fourier sharpening and wavelet denoising similar to the ForWarD algorithm. Experimental results on enhancing digital mammogram images attest to the effectiveness of the presented method. © 2008 IEEE.