ArticleFrontiers in computational neuroscience2015
A Retina Inspired Model for Enhancing Visibility of Hazy Images.
Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Effects of Warm-Up Routines on Postural Balance: Theoretical Considerations and Practical Precautions.Sports medicine (Auckland, N.Z.) · 2025Review
- Underwater low-light enhancement network based on bright channel prior and attention mechanism.PloS one · 2023Article
- Visibility Restoration: A Systematic Review and Meta-Analysis.Sensors (Basel, Switzerland) · 2021Review
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Authors and funding
4 authors.
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Abstract
The mammalian retina seems far smarter than scientists have believed so far. Inspired by the visual processing mechanisms in the retina, from the layer of photoreceptors to the layer of retinal ganglion cells (RGCs), we propose a computational model for haze removal from a single input image, which is an important issue in the field of image enhancement. In particular, the bipolar cells serve to roughly remove the low-frequency of haze, and the amacrine cells modulate the output of cone bipolar cells to compensate the loss of details by increasing the image contrast. Then the RGCs with disinhibitory receptive field surround refine the local haze removal as well as the image detail enhancement. Results on a variety of real-world and synthetic hazy images show that the proposed model yields results comparative to or even better than the state-of-the-art methods, having the advantage of simultaneous dehazing and enhancing of single hazy image with simple and straightforward implementation.
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