Scholarly Works - Book sections
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January 1, 2017
The image processing algorithms collectively known as super-resolution have proven effective in producing high-quality imagery from a collection of low-resolution photographic images. In this chapter, we examine some of the advantages and challenges of app ...
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December 1, 2010
We describe an efficient approach for the automated segmentation of pathological/morphological structures in ophthalmic Spectral Domain Optical Coherence Tomography (SDOCT) images. In this algorithm, image pixels are treated as nodes of a graph with edge w ...
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December 1, 2009
High-resolution optical imaging of objects hidden in scattering media such as the human eye is a challenging and important problem with many industrial and medical applications. © 2009 Springer Berlin Heidelberg. ...
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December 1, 2008
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 ...
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May 26, 2008
Accurate detection-characterization of drusen is an important imaging biomarker of age-related macular degeneration (AMD) progression. We report on the development of an automatic method for detection and segmentation of drusen in retinal images captured v ...
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January 1, 2008
Single-sensor imaging provides a convenient, yet low-cost solution for the problem of capturing color images at multiple wavelengths. To capture color, single-sensor cameras add a color filter array (CFA) [1], [2] on top of the photo-detector array. The CF ...
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