Modeling the Effect of Fixational Eye Movements in Natural Scenes

Olmedo-Payá, Andrés; Martínez-Álvarez, Antonio; Cuenca-Asensi, Sergio; Vicente, José Manuel Ferrández; Fernández, Eduardo

doi:10.1007/978-3-642-38637-4_34

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…However, the works cited above are suggestive of an intimate functional affinity between nonlocal image processing and HVS mechanisms that cause or leverage saccades and fixational eye movements (see, e.g., Olmedo-Payá et al 2013). Since a patchwise image modeling is at the root of nonlocal methods, and because patches can be put into correspondence with the narrow visual field during fixations, our motivating idea is to endow the nonlocal methods with foveation, as this is the key feature characterizing the narrowness of the human visual field.…”

Section: Narrow Visual Field and Saccadic Eye Movementsmentioning

confidence: 96%

Foveated Nonlocal Self-Similarity

Foi

Boracchi

2016

Int J Comput Vis

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When we gaze a scene, our visual acuity is maximal at the fixation point (imaged by the fovea, the central part of the retina) and decreases rapidly towards the periphery of the visual field. This phenomenon is known as foveation. We investigate the role of foveation in nonlocal image filtering, installing a different form of self-similarity: the foveated self-similarity. We consider the image denoising problem as a simple means of assessing the effectiveness of descriptive models for natural images and we show that, in nonlocal image filtering, the foveated self-similarity is far more effective than the conventional windowed self-similarity. To facilitate the use of foveation in nonlocal imaging algorithms, we develop a general framework for designing foveation operators for patches by means of spatially variant blur. Within this framework, we construct several parametrized families of operators, including anisotropic ones. Strikingly, the foveation operators enabling the best denoising performance are the radial ones, in complete agreement with the orientation preference of the human visual system

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Section: Narrow Visual Field and Saccadic Eye Movementsmentioning

confidence: 96%