A Review on Haze Removal Techniques

Senthilkumar, K. P.; Sivakumar, P.

doi:10.1007/978-3-030-04061-1_11

Cited by 8 publications

(1 citation statement)

References 19 publications

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“…Restored model methods are widely used for image dehazing ( 48 , 49 ), underwater image enhancement, and night image enhancement ( 50 ); however, only a few studies have reported their use in retinal imaging enhancement. To our knowledge, the first publication about the application of restored model methods in retinal image enhancement can be traced back to 1989 ( 22 ), where the model for imaging the retina in photographs taken through intraocular scatter is considered similar to the model used to represent imaging of the earth from a satellite in the presence of light cloud cover.…”

Section: Introductionmentioning

confidence: 99%

Computational single fundus image restoration techniques: a review

Zhang,

Webers,

Berendschot

2024

Front. Ophthalmol.

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Fundus cameras are widely used by ophthalmologists for monitoring and diagnosing retinal pathologies. Unfortunately, no optical system is perfect, and the visibility of retinal images can be greatly degraded due to the presence of problematic illumination, intraocular scattering, or blurriness caused by sudden movements. To improve image quality, different retinal image restoration/enhancement techniques have been developed, which play an important role in improving the performance of various clinical and computer-assisted applications. This paper gives a comprehensive review of these restoration/enhancement techniques, discusses their underlying mathematical models, and shows how they may be effectively applied in real-life practice to increase the visual quality of retinal images for potential clinical applications including diagnosis and retinal structure recognition. All three main topics of retinal image restoration/enhancement techniques, i.e., illumination correction, dehazing, and deblurring, are addressed. Finally, some considerations about challenges and the future scope of retinal image restoration/enhancement techniques will be discussed.

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