Retina-inspired image and video coding

Abstract : The goal of this thesis is to propose a novel video coding architecture which is inspired by the mammalian visual system and the retina. If one sees the retina as a machine which processes the visual stimulus, it seems an intelligent and very efficient model to mimic. There are several reasons to claim that, first of all because it consumes low power, it also deals with high resolution inputs and the dynamic way it transforms and encodes the visual stimulus is beyond the current standards. We were motivated to study and release a retina-inspired video codec. The proposed algorithm was applied to a video stream in a very simple way according to the coding standards like MJPEG or MJPEG2000. However, this way allows the reader to study and explore all the advantages of the retina dynamic processing way in terms of compression and image processing. The current performance of the retina-inspired codec is very promising according to some final results which outperform MJPEG for bitrates lo wer than 100 kbps and MPEG-2 for bitrates higher than 70 kpbs. In addition, for lower bitrates, the retina-inspired codec outlines better the content of the input scene. There are many perspectives which concern the improvement of the retina-inspired video codec which seem to lead to a groundbreaking compression architecture. Hopefully, this manuscript will be a useful tool for all the researchers who would like to study further than the perceptual capability of the mammalian visual system and understand how the structure and the functions of the retina can in practice improve the coding algorithms.
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Effrosyni Doutsi. Retina-inspired image and video coding. Other. Université Côte d'Azur, 2017. English. ⟨NNT : 2017AZUR4011⟩. ⟨tel-01584114⟩

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