Marc Antonini - Academia.edu (original) (raw)
Papers by Marc Antonini
... of Wavelet Transform Coefficients Applied to Image Coding Michel Barlaud, Patrick ,9016, Marc... more ... of Wavelet Transform Coefficients Applied to Image Coding Michel Barlaud, Patrick ,9016, Marc Antonini, Pierre Mathieu CNRS, 18.9, 250, rue A. Einstein, 06 560 Valbonne, FRANCE 1 Abstract ... am,n = xh~n-kOm-1,k where h~ is a low pass filter and g1 is a high pass filter. ...
2005 International Conference on Wireless Networks, Communications and Mobile Computing, 2005
We propose the design of an original scalable image coder/decoder that is inspired from the mamma... more We propose the design of an original scalable image coder/decoder that is inspired from the mammalians retina. Our coder accounts for the time-dependent and also nondeterministic behavior of the actual retina. The present work brings two main contributions: As a first step, (i) we design a deterministic image coder mimicking most of the retinal processing stages and then (ii) we introduce a retinal noise in the coding process, that we model here as a dither signal, to gain interesting perceptual features. Regarding our first contribution, our main source of inspiration will be the biologically plausible model of the retina called Virtual Retina. The main novelty of this coder is to show that the time-dependent behavior of the retina cells could ensure, in an implicit way, scalability and bit allocation. Regarding our second contribution, we reconsider the inner layers of the retina. We emit a possible interpretation for the non-determinism observed by neurophysiologists in their output. For this sake, we model the retinal noise that occurs in these layers by a dither signal. The dithering process that we propose adds several interesting features to our image coder. The dither noise whitens the reconstruction error and decorrelates it from the input stimuli. Furthermore, integrating the dither noise in our coder allows a faster recognition of the fine details of the image during the decoding process. Our present paper goal is twofold. First, we aim at mimicking as closely as possible the retina for the design of a novel image coder while keeping encouraging performances. Second, we bring a new insight concerning the non-deterministic behavior of the retina.
Acoustics Speech and Signal Processing 1988 Icassp 88 1988 International Conference on, Mar 14, 2010
Proceedings of the 13th International Conference on Advanced Concepts For Intelligent Vision Systems, Apr 8, 2011
We present a novel bio-inspired and dynamic coding scheme for static images. Our coder aims at re... more We present a novel bio-inspired and dynamic coding scheme for static images. Our coder aims at reproducing the main steps of the visual stimulus processing in the mammalian retina taking into account its time behavior. The main novelty of this work is to show how to exploit the time behavior of the retina cells to ensure, in a simple way, scalability and bit allocation. To do so, our main source of inspiration will be the biologically plausible retina model called Virtual Retina. Following a similar structure, our model has two stages. The first stage is an image transform which is performed by the outer layers in the retina. Here it is modelled by filtering the image with a bank of difference of Gaussians with time-delays. The second stage is a time-dependent analog-to-digital conversion which is performed by the inner layers in the retina. Thanks to its conception, our coder enables scalability and bit allocation across time. Also, our decoded images do not show annoying artefacts such as ringing and block effects. As a whole, this article shows how to capture the main properties of a biological system, here the retina, in order to design a new efficient coder.
Applying High-Performance Cluster and Grid Computing, 2000
11Th International Workshop on Image Analysis For Multimedia Interactive Services Wiamis 10, Apr 12, 2010
In previous work, we have proposed a bio-plausible model of retinal processing, based on the phys... more In previous work, we have proposed a bio-plausible model of retinal processing, based on the physiological literature. A strong characteristic of this model was to reproduce the temporal delay of the surround component of filtering, as observed in real retinas. In this report, we study the possibilities of image reconstruction based on the response of such a model to the sudden appearance of a static image. In this report, we mostly focus on the first stage of the model, which performs \emph{linear spatio-temporal filtering} on the input image. We view this stage as a linear application from a 2D space (the image) to a 2D+T space (the temporal response of the retina), which bears an optimal inverse transformation in terms of robustness to noise: the pseudo-inverse of Moore-Penrose. We study the particular structure of this pseudo-inverse, due to the structure of retinal filtering with a delayed surround component. As a result, the pseudo-inverse-based image reconstruction reconstruc...
The mammalians retina conveys information by means of spike trains. Though, understanding the way... more The mammalians retina conveys information by means of spike trains. Though, understanding the way these spike trains represent the stimuli is still a challenging issue, especially when considering their non-determinism. Interestingly, the spike-based code of the retina is binary-like, and thus we considered its study in a signal coding fashion. To do so, we specied a coding scheme based on the mean ring rate of spikes simulated by a realistic model of the mammalians retina. We, then, inverted the generated code to reconstruct the original input. Besides, we established some links between the processing occurring in the retina and state-of-the art methods in pure image coding. Finally, we gave a biologically plausible interpretation for the non-determinism in the spike ring timings.
... of Wavelet Transform Coefficients Applied to Image Coding Michel Barlaud, Patrick ,9016, Marc... more ... of Wavelet Transform Coefficients Applied to Image Coding Michel Barlaud, Patrick ,9016, Marc Antonini, Pierre Mathieu CNRS, 18.9, 250, rue A. Einstein, 06 560 Valbonne, FRANCE 1 Abstract ... am,n = xh~n-kOm-1,k where h~ is a low pass filter and g1 is a high pass filter. ...
2005 International Conference on Wireless Networks, Communications and Mobile Computing, 2005
We propose the design of an original scalable image coder/decoder that is inspired from the mamma... more We propose the design of an original scalable image coder/decoder that is inspired from the mammalians retina. Our coder accounts for the time-dependent and also nondeterministic behavior of the actual retina. The present work brings two main contributions: As a first step, (i) we design a deterministic image coder mimicking most of the retinal processing stages and then (ii) we introduce a retinal noise in the coding process, that we model here as a dither signal, to gain interesting perceptual features. Regarding our first contribution, our main source of inspiration will be the biologically plausible model of the retina called Virtual Retina. The main novelty of this coder is to show that the time-dependent behavior of the retina cells could ensure, in an implicit way, scalability and bit allocation. Regarding our second contribution, we reconsider the inner layers of the retina. We emit a possible interpretation for the non-determinism observed by neurophysiologists in their output. For this sake, we model the retinal noise that occurs in these layers by a dither signal. The dithering process that we propose adds several interesting features to our image coder. The dither noise whitens the reconstruction error and decorrelates it from the input stimuli. Furthermore, integrating the dither noise in our coder allows a faster recognition of the fine details of the image during the decoding process. Our present paper goal is twofold. First, we aim at mimicking as closely as possible the retina for the design of a novel image coder while keeping encouraging performances. Second, we bring a new insight concerning the non-deterministic behavior of the retina.
Acoustics Speech and Signal Processing 1988 Icassp 88 1988 International Conference on, Mar 14, 2010
Proceedings of the 13th International Conference on Advanced Concepts For Intelligent Vision Systems, Apr 8, 2011
We present a novel bio-inspired and dynamic coding scheme for static images. Our coder aims at re... more We present a novel bio-inspired and dynamic coding scheme for static images. Our coder aims at reproducing the main steps of the visual stimulus processing in the mammalian retina taking into account its time behavior. The main novelty of this work is to show how to exploit the time behavior of the retina cells to ensure, in a simple way, scalability and bit allocation. To do so, our main source of inspiration will be the biologically plausible retina model called Virtual Retina. Following a similar structure, our model has two stages. The first stage is an image transform which is performed by the outer layers in the retina. Here it is modelled by filtering the image with a bank of difference of Gaussians with time-delays. The second stage is a time-dependent analog-to-digital conversion which is performed by the inner layers in the retina. Thanks to its conception, our coder enables scalability and bit allocation across time. Also, our decoded images do not show annoying artefacts such as ringing and block effects. As a whole, this article shows how to capture the main properties of a biological system, here the retina, in order to design a new efficient coder.
Applying High-Performance Cluster and Grid Computing, 2000
11Th International Workshop on Image Analysis For Multimedia Interactive Services Wiamis 10, Apr 12, 2010
In previous work, we have proposed a bio-plausible model of retinal processing, based on the phys... more In previous work, we have proposed a bio-plausible model of retinal processing, based on the physiological literature. A strong characteristic of this model was to reproduce the temporal delay of the surround component of filtering, as observed in real retinas. In this report, we study the possibilities of image reconstruction based on the response of such a model to the sudden appearance of a static image. In this report, we mostly focus on the first stage of the model, which performs \emph{linear spatio-temporal filtering} on the input image. We view this stage as a linear application from a 2D space (the image) to a 2D+T space (the temporal response of the retina), which bears an optimal inverse transformation in terms of robustness to noise: the pseudo-inverse of Moore-Penrose. We study the particular structure of this pseudo-inverse, due to the structure of retinal filtering with a delayed surround component. As a result, the pseudo-inverse-based image reconstruction reconstruc...
The mammalians retina conveys information by means of spike trains. Though, understanding the way... more The mammalians retina conveys information by means of spike trains. Though, understanding the way these spike trains represent the stimuli is still a challenging issue, especially when considering their non-determinism. Interestingly, the spike-based code of the retina is binary-like, and thus we considered its study in a signal coding fashion. To do so, we specied a coding scheme based on the mean ring rate of spikes simulated by a realistic model of the mammalians retina. We, then, inverted the generated code to reconstruct the original input. Besides, we established some links between the processing occurring in the retina and state-of-the art methods in pure image coding. Finally, we gave a biologically plausible interpretation for the non-determinism in the spike ring timings.