Abstract: A method of controlling power usage in an image signal processor includes measuring an actual percentage of flat pixels in a digital image, adjusting a percentage threshold of flat pixels in the digital image, based on the measured actual percentage of flat pixels in the digital image; and processing the digital image by the image signal processor based on the percentage threshold of flat pixels. The percentage threshold of flat pixels is adjusted to reduce power used by the image signal processor in processing the digital image.

Abstract: Methods and apparatuses for correcting bad image pixels are described. The described sensor-independent image processing techniques leverage one or more dynamic dictionaries of learned filters for bad pixel correction (e.g., where a camera leverages such dictionaries to efficiently identify filters to accurately adjust and correct bad pixel values). For example, a dictionary may store filters that are learned offline (via a self-supervised learning algorithm implemented at a server using known images and ground truth bad pixel correction values). To select a filter for a bad pixel correction operation, a camera may encode an image patch surrounding a bad pixel (into an encoded patch descriptor) and search the dictionary for a matching patch descriptor key. The camera may then apply the filter (value) corresponding to the searched patch descriptor (key) of the dictionary to the image patch to correct the bad pixel and generate a corrected output image.

Abstract: In a method for time-of-flight (ToF) based measurement, a scene is illuminated using a ToF light source modulated at a first modulation frequency FMOD(1). While the light is modulated using FMOD(1), depths are measured to respective surface points within the scene, where the surface points are represented by a plurality of respective pixels. At least one statistical distribution parameter is computed for the depths. A second modulation frequency FMOD(2) higher than FMOD(1) is determined based on the at least one statistical distribution parameter. The depths are then re-measured using FMOD(2) to achieve a higher depth accuracy.

Abstract: In a method for time-of-flight (ToF) based measurement, a scene is illuminated using a ToF light source modulated at a first modulation frequency FMOD(1). While the light is modulated using FMOD(1), depths are measured to respective surface points within the scene, where the surface points are represented by a plurality of respective pixels. At least one statistical distribution parameter is computed for the depths. A second modulation frequency FMOD(2) higher than FMOD(1) is determined based on the at least one statistical distribution parameter. The depths are then re-measured using FMOD(2) to achieve a higher depth accuracy.

Abstract: A method performed with an image sensor having a pixel array. At least one frame of a scene may be obtained using the pixel array. At least one region of interest (ROI) is identified within the frame. Subsequent frames of the scene are obtained, which involves controlling the pixel array to perform high resolution imaging with respect to the at least one ROI and low resolution imaging using analog binning with respect to remaining regions of the frames.

Abstract: A method for time-of-flight (ToF) guided down-up sampling includes calculating a guide function from a full resolution output of a ToF sensor, downsampling the full resolution output by a predetermined scaling factor, calculating a downsampled depth data from the downsampled output and upsampling the downsampled depth data to full resolution using the full resolution guide function.

Abstract: A time of flight (ToF) sensor includes: a first pixel including a first photogate to receive light reflected by an object and generate a first phase signal, and a second photogate to generate a second phase signal having a phase difference of 180 degrees with respect to the first phase signal; a second pixel including a third photogate to receive the reflected light and generate a third phase signal different from the first phase signal and a fourth photogate to generate a fourth phase signal having a phase difference of 180 degrees with respect to the third phase signal; a first signal output unit to output the first and second phase signals; and a second signal output unit to output the third and fourth phase signals, wherein the first, second, third and fourth photogates output the first to fourth phase signals during a frame period.

Abstract: A method for down-up sampling of image sensor data includes the steps of down sampling green pixels in a super Bayer pattern of image sensor data, where a decimation factor of the downsampling corresponds to a size of a color cluster in the super Bayer pattern, where two green pixels that are those closest to a non-green pixel cluster remain in each green cluster after downsampling, and wherein each non-green pixel cluster is bordered by four downsampled green pixels, and up sampling non-green color pixels in a non-green cluster from the remaining green pixels that are closest to the non-green cluster by a bilinear interpolation of each non-green pixel with respect to the closest remaining green pixels, where the up sampling of the non-green color pixels is guided by a compressed array that corresponds to the image sensor data.

Abstract: A time of flight (ToF) sensor includes: a first pixel including a first photogate to receive light reflected by an object and generate a first phase signal, and a second photogate to generate a second phase signal having a phase difference of 180 degrees with respect to the first phase signal; a second pixel including a third photogate to receive the reflected light and generate a third phase signal different from the first phase signal and a fourth photogate to generate a fourth phase signal having a phase difference of 180 degrees with respect to the third phase signal; a first signal output unit to output the first and second phase signals; and a second signal output unit to output the third and fourth phase signals, wherein the first, second, third and fourth photogates output the first to fourth phase signals during a frame period.

Abstract: A method performed with an image sensor having a pixel array. At least one frame of a scene may be obtained using the pixel array. At least one region of interest (ROI) is identified within the frame. Subsequent frames of the scene are obtained, which involves controlling the pixel array to perform high resolution imaging with respect to the at least one ROI and low resolution imaging using analog binning with respect to remaining regions of the frames.

Abstract: A method for time-of-flight (ToF) guided down-up sampling includes calculating a guide function from a full resolution output of a ToF sensor, downsampling the full resolution output by a predetermined scaling factor, calculating a downsampled depth data from the downsampled output and upsampling the downsampled depth data to full resolution using the full resolution guide function.

Abstract: A method for down-up sampling of image sensor data includes the steps of down sampling green pixels in a super Bayer pattern of image sensor data, where a decimation factor of the downsampling corresponds to a size of a color cluster in the super Bayer pattern, where two green pixels that are those closest to a non-green pixel cluster remain in each green cluster after downsampling, and wherein each non-green pixel cluster is bordered by four downsampled green pixels, and up sampling non-green color pixels in a non-green cluster from the remaining green pixels that are closest to the non-green cluster by a bilinear interpolation of each non-green pixel with respect to the closest remaining green pixels, where the up sampling of the non-green color pixels is guided by a compressed array that corresponds to the image sensor data.

Abstract: An HDR image sensor supporting LED Flicker Mitigation to reduce Motion Blur and a method of operating same are provided. A timing controller circuit generates at least one control signal that controls an operation of the image sensor. A split-photodiode (PD) pixel includes at least two or more photodiodes that may be independently exposed to one or more bursts of light from a light source. A first photodiode of the two or more photodiodes has a first exposure period that is longer in duration than a second exposure period of a second photodiode of the two or more photodiodes. The second photodiode performs a fragmented exposure operation in which a plurality of exposure periods of the second photodiode are shorter in duration than the first exposure period of the first photodiode, and include both continuous and fragmented exposure periods to capture the one or more bursts of light.

Abstract: In a method for time-of-flight (ToF) based measurement, a scene is illuminated using a ToF light source modulated at a first modulation frequency FMOD(1). While the light is modulated using FMOD(1), depths are measured to respective surface points within the scene, where the surface points are represented by a plurality of respective pixels. At least one statistical distribution parameter is computed for the depths. A second modulation frequency FMOD(2) higher than FMOD(1) is determined based on the at least one statistical distribution parameter. The depths are then re-measured using FMOD(2) to achieve a higher depth accuracy.

Abstract: In various embodiments new molecular tweezers compounds are provided. The compounds described herein (e.g., molecular tweezers) are believed to be useful for inhibiting protein aggregation (or disaggregating aggregated proteins). In certain embodiments the compounds described herein (e.g., molecular tweezers) are believed to be useful in the treatment of pathologies characterized by protein aggregation (e.g., amyloidopathies), and/or in the treatment of brain or spinal cord damage associated with acute trauma, stroke, and the like, and/or in the treatment of lysosomal storage diseases, and/or in the treatment of lipofuscin-related disorders, and in various viral infections.

Abstract: In various embodiments methods for the treatment and/or prophylaxis of lipofuscin-related disorders are provided. In certain embodiments the methods involve administration of an effective amount of a molecular tweezers to a subject in need thereof.

Abstract: In various embodiments methods are provided for the treatment or prophylaxis of liposomal storage diseases. In certain embodiments the methods involve administering to a subject in need thereof one or more molecular tweezers that inhibit protein aggregation.

Abstract: Methods for the treatment of spinal cord injury or traumatic brain injury are provided. In certain embodiments, the methods include the use of a molecular tweezers and/or nucleobase oligomer capable of inhibiting the accumulation or aggregation of one or more amyloidogenic proteins and/or synuclein proteins. Examples of treatments that may inhibit accumulation or aggregation of one or more amyloidogenic proteins and/or synuclein proteins include treatment with a synuclein antisense nucleobase oligomer or treatment with the molecular tweezers CLR01. These treatments may improve outcomes of spinal cord surgery or traumatic brain injury, including, without limitation, neuronal survival, neuronal regeneration, and recovery of neuronal functions.

Abstract: In a method for time-of-flight (ToF) based measurement, a scene is illuminated using a ToF light source modulated at a first modulation frequency FMOD(1). While the light is modulated using FMOD(1), depths are measured to respective surface points within the scene, where the surface points are represented by a plurality of respective pixels. At least one statistical distribution parameter is computed for the depths. A second modulation frequency FMOD(2) higher than FMOD(1) is determined based on the at least one statistical distribution parameter. The depths are then re-measured using FMOD(2) to achieve a higher depth accuracy.

Abstract: In a method for time-of-flight (ToF) based measurement, a scene is illuminated using a ToF light source modulated at a first modulation frequency FMOD(1). While the light is modulated using FMOD(1), depths are measured to respective surface points within the scene, where the surface points are represented by a plurality of respective pixels. At least one statistical distribution parameter is computed for the depths. A second modulation frequency FMOD(2) higher than FMOD(1) is determined based on the at least one statistical distribution parameter. The depths are then re-measured using FMOD(2) to achieve a higher depth accuracy.