Title :
Efficient restoration and enhancement of super-resolved X-ray images
Author :
Robinson, M. Dirk ; Farsiu, Sina ; Lo, Joseph Y. ; Toth, Cynthia A.
Author_Institution :
Ricoh Innovations, Menlo Park, CA
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.
Keywords :
Fourier transforms; X-ray imaging; image enhancement; image reconstruction; image restoration; mammography; medical image processing; wavelet transforms; ForWarD algorithm; Fourier sharpening; X-ray images; digital mammogram images; image enhancement; image reconstruction; image resolution; image restoration; nonlinear deblurring algorithm; nonstationary noise; wavelet denoising; Biomedical imaging; Image reconstruction; Image resolution; Image restoration; Mammography; Medical diagnostic imaging; Noise reduction; Radiation dosage; Spatial resolution; X-ray imaging; Denoising; Digital Mammography; Multi-Frame Deblurring; Super-Resolution; Wavelets;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4711833