Random Spray Retinex Extensions Considering Region of Interest and Eye Movements

Abstract

The Random spray Retinex (RSR) algorithm was developed by taking into consideration the mathematical description of Milano-Retinex. The RSR substituted random paths with random sprays. Mimicking some characteristics of the human visual system (HVS), this article proposes two variants of RSR adding a mechanism of region of interest (ROI). In the first proposed model, a cone distribution based on anatomical data is considered as ROI. In the second model, the visual resolution depending on the visual field based on the knowledge of visual information processing is considered as ROI. We have measured actual eye movements using an eye-tracking system. By using the eye-tracking data, we have simulated the HVS using test images. Results show an interesting qualitative computation of the appearance of the processed area around real gaze points.

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“…The spatial information is integrated into the RSR channel lightness computation at each pixel through a weighting function inversely proportional to the distance from the spray center. Finally, Tanaka et al [39] produced two variants of RSR by concentrating on the region of interest (ROI): the first variant proposed a cone distribution based on anatomical data as a ROI, while the second variant focuses on the visual field information's visual resolution and considers it an ROI. Among the most efficient and fastest implementations of RSR is FuzzyRSR [29], which exploits the same spray for the correction of several pixels.…”