Abstract
In medical image processing, retinal image enhancement is the challenging issue to reveal the unseen details of an retinal image, thus, in many applications image enhancement issued to solve the challenges such as, noise reduction, blurring, degradation, etc. To improve the visual grade of retinal images we have many alternative image enhancement techniques that are suitable for specific application. This paper presents an overview of various retinal image enhancement techniques that will process the original Retinal image to obtain enhanced image suitable for a specific application. The method used in this paper has been evaluated with help of PSNR image Quality measure which is applied over several retinal images which is obtained from the datasets such as DRIVE, STARE and few other’s provided by local medical experts. The comparative experimental results indicate that our proposed enhanced method has better outcome.
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Chandra, P.S., Hanumantharaju, M.C., Gopalakrishna, M.T. (2015). Retinal Based Image Enhancement Using Contourlet Transform. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_64
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DOI: https://doi.org/10.1007/978-3-319-12012-6_64
Publisher Name: Springer, Cham
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