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Journal Articles IEEE Transactions on Image Processing Year : 2018

Retina-inspired Filter

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Abstract

This paper introduces a novel filter which is inspired by the human retina. The human retina consists of three different layers: the Outer Plexiform Layer (OPL), the inner plexiform layer and the ganglionic layer. Our inspiration is the linear transform which takes place in the OPL and has been mathematically described by the neuroscientific model “virtual retina”. This model is the cornerstone to derive the non-separable spatiotemporal OPL retina-inspired filter, briefly renamed retina- inspired filter, studied in this paper. This filter is connected to the dynamic behavior of the retina, which enables the retina to increase the sharpness of the visual stimulus during filtering before its transmission to the brain. We establish that this retina- inspired transform forms a group of spatiotemporal Weighted Difference of Gaussian (WDoG) filters when it is applied to a still image visible for a given time. We analyze the spatial frequency bandwidth of the retina-inspired filter with respect to time. It is shown that the WDoG spectrum varies from a lowpass filter to a bandpass filter. Therefore, while time increases, the retina- inspired filter enables to extract different kind of information from the input image. Finally, we discuss the benefits of using the retina-inspired filter in image processing.
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Dates and versions

hal-01350686 , version 1 (01-08-2016)

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Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin. Retina-inspired Filter. IEEE Transactions on Image Processing, 2018, 27 (7), pp.3484 - 3499. ⟨10.1109/TIP.2018.2812079⟩. ⟨hal-01350686⟩
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