Journal
JOURNAL OF DIGITAL IMAGING
Volume 34, Issue 3, Pages 750-759Publisher
SPRINGER
DOI: 10.1007/s10278-021-00447-0
Keywords
Fundus images; Image enhancement; CLAHE; Wiener filter; CII; Linear index of fuzziness
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The paper proposes a new algorithm for enhancing retinal fundus images based on separating color images, reducing green channel noise effectively through a Wiener filter and CLAHE technique, and showing successful results in improving blood vessel imagery and other details in test fundus images.
Digital images used in the field of ophthalmology are among the most important methods for automatic detection of certain eye diseases. These processes include image enhancement as a primary step to assist optometrists in identifying diseases. Therefore, many algorithms and methods have been developed for the enhancement of retinal fundus images, which may experience challenges that typically accompany enhancement processes, such as artificial borders and dim lighting that mask image details. To eliminate these problems, a new algorithm is proposed in this paper based on separating colour images into three channels (red, green, and blue). The green channel is passed through a Wiener filter and reinforced using the CLAHE technique before merging with the original red and blue channels. Reducing the green channel noise with this approach is proven effective over the other colour channels. Results from the Contrast Improvement Index (CII) and linear index of fuzziness (r) test indicate the success of the proposed algorithm compared with alternate algorithms in the application of improving blood vessel imagery and other details within ten test fundus images selected from the DRIVER database.
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