Two-phase kernel estimation for robust motion deblurring
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Multichannel blind deconvolution of spatially misaligned images
IEEE Transactions on Image Processing
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Eye fundus imaging is vital for modern ophthalmology. Due to the acquisition process, fundus images often suffer from blurring and uneven illumination. This hinders diagnosis and the evolution assessment of a disease. We present a method for fundus image deblurring by means of multichannel blind deconvolution. It consists of a series of preprocessing steps to adjust the images so they comply with the considered degradation model, followed by the estimation of the point spread function, and image deconvolution. Results show that our approach is capable of significant resolution improvement in degraded retinal images.