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Full reference image quality metrics are important tools for optimizing system design parameters associated with image acquisition, compression and transmission. While optimizing systems for perceptual quality is important, in the automotive environment Advanced Driver Assistance Systems (ADAS) such as automated pedestrian detection are becoming a common feature of in-vehicular vision systems. As...
This paper proposes a new approach for predicting the Quality of Experience (QoE) of fish-eye to rectilinear transformed images used in automotive vision applications. For this purpose a dataset of automotive images was created. Subjective image quality evaluations of the dataset were carried out, in terms of visual perception and driving assistance usefulness. For objective artifact description we...
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