Retinal image restoration by means of blind deconvolution
نویسندگان
چکیده
منابع مشابه
Retinal image restoration by means of blind deconvolution.
Retinal imaging plays a key role in the diagnosis and management of ophthalmologic disorders, such as diabetic retinopathy, glaucoma, and age-related macular degeneration. Because of the acquisition process, retinal images often suffer from blurring and uneven illumination. This problem may seriously affect disease diagnosis and progression assessment. Here we present a method for color retinal...
متن کاملImage Restoration by blind deconvolution
In this Diploma Thesis we will present some methods to improve the quality of a given pictures. In particular blind deconvolution will be applied to deblurr the images. The deconvolution tries to invert the blurring of an image that is modeled by the convolution g = f ∗ h. Blind deconvolution tries to do this without knowledge of the point spread function that blurred the image. In the Thesis f...
متن کاملAtmospheric Turbulence Restoration by Diffeomorphic Image Registration and Blind Deconvolution
A novel approach is presented in this paper to improve images which are altered by atmospheric turbulence. Two new algorithms are presented based on two combinations of a blind deconvolution block, an elastic registration block and a temporal filter block. The algorithms are tested on real images acquired in the desert in New Mexico by the NATO RTG40 group.
متن کاملBlind Image Deconvolution: An Algorithmic Approach to Practical Image Restoration
The goal of image restoration is to reconstruct the original scene from a degraded observation. This recovery process is critical to many image processing applications. Although classical linear image restoration has been thoroughly studied [1], [2], the more di cult problem of blind image restoration has numerous research possibilities. Blind image restoration is the process of estimating both...
متن کاملAnalysis and performance of CMA blind deconvolution for image restoration
In this paper we study the applicability of classical blind deconvolution methods such as constant modulus algorithm (CMA) for blind adaptive image restoration. The requirements such as the source to be white, uniformly distributed and zero mean, which yield satisfactory convergence in the data communication application context, are revisited in the image restoration context, where a linear deb...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Biomedical Optics
سال: 2011
ISSN: 1083-3668
DOI: 10.1117/1.3652709