Abstract: A method for processing image data having noise and information, including: acquiring input raw image data having pixels of an image sensor used to take the image data, processing the input data, and outputting processed image-output data. The step of acquiring input data includes acquiring an input-noise model from the input data, and the step of processing the input raw image data includes a preprocessing operation and determining an output-noise model adapted to reflect noise in the output data, and producing output raw-image data consistent with the output-noise model, and the step of outputting the processed image data includes storing and/or transmitting the output raw image data and the output-noise model, which together form the output data, in a manner linking the output raw image data to the output-noise model, thereby allowing processing of the output data, as input data, such that the processing is adapted for pipeline processing.

Abstract: A method for processing image data having noise and information, including: acquiring input raw image data having pixels of an image sensor used to take the image data, processing the input data, and outputting processed image-output data. The step of acquiring input data includes acquiring an input-noise model from the input data, and the step of processing the input raw image data includes a preprocessing operation and determining an output-noise model adapted to reflect noise in the output data, and producing output raw-image data consistent with the output-noise model, and the step of outputting the processed image data includes storing and/or transmitting the output raw image data and the output-noise model, which together form the output data, in a manner linking the output raw image data to the output-noise model, thereby allowing processing of the output data, as input data, such that the processing is adapted for pipeline processing.

Abstract: A method for steganographic processing and compression of image data with negligible information loss, wherein said image data comprises noise and information. The method includes the steps of: acquiring image data to be processed and/or compressed, storing and/or transmitting the image data, and preparing the acquired image data for compression. The preparation step includes determining an input noise model and corresponding parameters adapted to reflect noise created by an image sensor used to capture said image data, and removing, with negligible information loss, noise from the acquired image data by use of the input noise model such as to produce noise-reduced image data.

Abstract: The present invention relates to a measuring device (3000) for measuring reflection in an optical fiber (1400), the device comprising: emitting means (3100) connected to the optical fiber (1400) and configured to emit light into the optical fiber (1400), measuring means (3300) connected to the optical fiber (1400) and configured to receive a reflected light from the optical fiber (1400), wherein the measuring means comprises a first photon detector (3310) and a second photon detector (3311), wherein the operation of the second photon detector (3311) and/or the reflected light reaching the second photon detector (3311) is controlled based on an output of the first photon detector (3310).

Abstract: A system and method to compress image data by first identifying the device and settings with which the image data was generated, and then optimizing the compression accordingly. A catalogue that associates imaging devices and settings to compression parameters is generated, so that when an image needs to be compressed, the system will identify the device and settings and extract compression parameters from the catalogue. These parameters are used during compression to achieve higher compression performance and optionally to normalize the compressed data as to make it more homogenous for further processing.

Abstract: A method for steganographic processing and compression of image data with negligible information loss, wherein said image data comprises noise and information. The method includes the steps of: acquiring image data to be processed and/or compressed, storing and/or transmitting the image data, and preparing the acquired image data for compression. The preparation step includes determining an input noise model and corresponding parameters adapted to reflect noise created by an image sensor used to capture said image data, and removing, with negligible information loss, noise from the acquired image data by use of the input noise model such as to produce noise-reduced image data.

Abstract: A system and method to compress image data by first identifying the device and settings with which the image data was generated, and then optimizing the compression accordingly. A catalogue that associates imaging devices and settings to compression parameters is generated, so that when an image needs to be compressed, the system will identify the device and settings and extract compression parameters from the catalogue. These parameters are used during compression to achieve higher compression performance and optionally to normalize the compressed data as to make it more homogenous for further processing.

Abstract: The present invention relates to a measuring device (3000) for measuring reflection in an optical fiber (1400), the device comprising: emitting means (3100) connected to the optical fiber (1400) and configured to emit light into the optical fiber (1400), measuring means (3300) connected to the optical fiber (1400) and configured to receive a reflected light from the optical fiber (1400), wherein the measuring means comprises a first photon detector (3310) and a second photon detector (3311), wherein the operation of the second photon detector (3311) and/or the reflected light reaching the second photon detector (3311) is controlled based on an output of the first photon detector (3310).

Abstract: A device for random number generation based on an optical process of quantum nature, including a light source emitting photons randomly, a light detector adapted to absorb the randomly emitted photons and to measure a number n of photons produced by the light source in a time interval T, and a randomness extractor. The detector includes a photon sensor acting as a photon-to-electron converter, an amplifier for converting the electron signal received from the photon sensor into a voltage and amplifying the voltage signal, as well as an analog-to-digital converter for processing the amplified signal received from the amplifier by encoding the amplified signal into digital values and sending these digital values to the randomness extractor for further processing such as to produce quantum random numbers (QRNs) based on the number of photons produced by the light source in a time interval T.

Abstract: A data compression method wherein said data comprises noise and information, comprising a data acquisition step, a pre-compression parameter selection step, wherein said pre-compression parameters are linked to an information loss, a compression step, and a storage step, the compression step being characterized in that it comprises a lossy pre-compression for removing some noise of the data, carried out using the pre-compression parameters selected in the selection step followed by lossless compression for compressing the remaining data.

Abstract: A reconfigurable and timely accurate method of generating, with a low latency, an output signal in response to multiple input signals, wherein said input signals occur at independent times, and wherein the occurrence of several input signals according to predetermined pattern is interpreted as a Super Event and wherein a detected Super Event triggers the production of a specific output signal heralding this Super Event, characterized in that said method comprises a first step of time acquisition of the occurrence of said input signals, a second step of adaptation of the acquisition data flow to the clock of the reconfigurable processing unit, a third step of determining the occurrence of a Super Event by comparing the events pattern to the super event definition, a fourth step identifying the Super Event and generating at least one event/signal corresponding to at least one trigger signal, a fifth step of adaptation of the generation data flow to the asynchronous generation device, a sixth step of applying a

Abstract: A device for random number generation based on an optical process of quantum nature, including a light source emitting photons randomly, a light detector adapted to absorb the randomly emitted photons and to measure a number n of photons produced by the light source in a time interval T, and a randomness extractor. The detector includes a photon sensor acting as a photon-to-electron converter, an amplifier for converting the electron signal received from the photon sensor into a voltage and amplifying the voltage signal, as well as an analog-to-digital converter for processing the amplified signal received from the amplifier by encoding the amplified signal into digital values and sending these digital values to the randomness extractor for further processing such as to produce quantum random numbers (QRNs) based on the number of photons produced by the light source in a time interval T.

Abstract: A method and device for generating random numbers based on an optical process of quantum nature. According to one exemplary aspect, the method includes randomly emitting photons from a light source and absorbing the emitted photons by a photon sensor having a plurality of pixels. Furthermore, respective minimum entropy levels can be calculated for each of the pixels of the photon sensor and a randomness extractor can be associated with each of pixels based on the calculated minimum entropy level of that pixel. After this calibration, the method and device generates a number of high-entropy bits used for generating a random number.

Abstract: A device for random number generation based on an optical process of quantum nature, including a light source emitting photons randomly, a light detector adapted to absorb the randomly emitted photons and to measure a number n of photons produced by the light source in a time interval T, and a randomness extractor. The detector includes a photon sensor acting as a photon-to-electron converter, an amplifier for converting the electron signal received from the photon sensor into a voltage and amplifying the voltage signal, as well as an analog-to-digital converter for processing the amplified signal received from the amplifier by encoding the amplified signal into digital values and sending these digital values to the randomness extractor for further processing such as to produce quantum random numbers (QRNs) based on the number of photons produced by the light source in a time interval T.

Abstract: A data compression method wherein said data comprises noise and information, comprising a data acquisition step, a pre-compression parameter selection step, wherein said pre-compression parameters are linked to an information loss, a compression step, and a storage step, the compression step being characterized in that it comprises a lossy pre-compression for removing some noise of the data, carried out using the pre-compression parameters selected in the selection step followed by lossless compression for compressing the remaining data.

Abstract: A reconfigurable and timely accurate method of generating, with a low latency, an output signal in response to multiple input signals, wherein said input signals occur at independent times, and wherein the occurrence of several input signals according to predetermined pattern is interpreted as a Super Event and wherein a detected Super Event triggers the production of a specific output signal heralding this Super Event, characterized in that said method comprises a first step of time acquisition of the occurrence of said input signals, a second step of adaptation of the acquisition data flow to the clock of the reconfigurable processing unit, a third step of determining the occurrence of a Super Event by comparing the events pattern to the super event definition, a fourth step identifying the Super Event and generating at least one event/signal corresponding to at least one trigger signal, a fifth step of adaptation of the generation data flow to the asynchronous generation device, a sixth step of applying a

Abstract: A device for random number generation based on an optical process of quantum nature, including a light source emitting photons randomly, a light detector adapted to absorb the randomly emitted photons and to measure a number n of photons produced by the light source in a time interval T, and a randomness extractor. The detector includes a photon sensor acting as a photon-to-electron converter, an amplifier for converting the electron signal received from the photon sensor into a voltage and amplifying the voltage signal, as well as an analog-to-digital converter for processing the amplified signal received from the amplifier by encoding the amplified signal into digital values and sending these digital values to the randomness extractor for further processing such as to produce quantum random numbers (QRNs) based on the number of photons produced by the light source in a time interval T.

Abstract: A method and device for generating random numbers based on an optical process of quantum nature. According to one exemplary aspect, the method includes randomly emitting photons from a light source and absorbing the emitted photons by a photon sensor having a plurality of pixels. Furthermore, respective minimum entropy levels can be calculated for each of the pixels of the photon sensor and a randomness extractor can be associated with each of pixels based on the calculated minimum entropy level of that pixel. After this calibration, the method and device generates a number of high-entropy bits used for generating a random number.