H04N5/919

Read-out integrated circuit with integrated compressive sensing

According to one aspect, a Read-Out Integrated Circuit (ROIC) with integrated Compressive Sampling (CS) is provided. The ROIC includes an input to couple to a photodetector array including a plurality of photodetectors and is configured to generate compressed image data by sampling and summing the values of the plurality of photodetectors consistent with a set of Compressive Sampling Measurement Matrices and provide the resulting coded aggregates to a signal processor as compressed image data.

Read-out integrated circuit with integrated compressive sensing

According to one aspect, a Read-Out Integrated Circuit (ROIC) with integrated Compressive Sampling (CS) is provided. The ROIC includes an input to couple to a photodetector array including a plurality of photodetectors and is configured to generate compressed image data by sampling and summing the values of the plurality of photodetectors consistent with a set of Compressive Sampling Measurement Matrices and provide the resulting coded aggregates to a signal processor as compressed image data.

MULTI-CHANNEL COMPRESSIVE SENSING-BASED OBJECT RECOGNITION
20180260649 · 2018-09-13 ·

An optical system for capturing an image using compressive sensing includes: a digital micromirror device (DMD) array; an optical lens system; a first optical detector array; a first optical channel for projecting spatial information onto the first detector array; a second optical detector array; a second optical channel; a spectral filter and a polarization filter for projecting spectral and polarization information onto the second detector array; and an image processor to control the DMD array to generate a first and a second set of samples of the image using a sampling rate lower than required by the Shannon-Nyquist sampling theorem, and to reconstruct the image from the samples collected and digitized by the first and second optical detector arrays.

MULTI-CHANNEL COMPRESSIVE SENSING-BASED OBJECT RECOGNITION
20180260649 · 2018-09-13 ·

An optical system for capturing an image using compressive sensing includes: a digital micromirror device (DMD) array; an optical lens system; a first optical detector array; a first optical channel for projecting spatial information onto the first detector array; a second optical detector array; a second optical channel; a spectral filter and a polarization filter for projecting spectral and polarization information onto the second detector array; and an image processor to control the DMD array to generate a first and a second set of samples of the image using a sampling rate lower than required by the Shannon-Nyquist sampling theorem, and to reconstruct the image from the samples collected and digitized by the first and second optical detector arrays.

IMAGE CAPTURING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
20180139407 · 2018-05-17 ·

An image capturing apparatus that continuously generates and records a sequence of RAW images, the image capturing apparatus comprising, an image capturing unit configured to generate a RAW image by shooting a subject, an encoding unit configured to generate encoded data by encoding the RAW image, and a recording/reproduction unit configured to record the encoded data in a recording medium and read out the encoded data from the recording medium, wherein the encoding unit includes a quantization unit configured to, when the sequence of RAW images are continuously generated, perform quantization while changing a quantization parameter within the same RAW image.

IMAGE CAPTURING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
20180139407 · 2018-05-17 ·

An image capturing apparatus that continuously generates and records a sequence of RAW images, the image capturing apparatus comprising, an image capturing unit configured to generate a RAW image by shooting a subject, an encoding unit configured to generate encoded data by encoding the RAW image, and a recording/reproduction unit configured to record the encoded data in a recording medium and read out the encoded data from the recording medium, wherein the encoding unit includes a quantization unit configured to, when the sequence of RAW images are continuously generated, perform quantization while changing a quantization parameter within the same RAW image.

READ-OUT INTEGRATED CIRCUIT WITH INTEGRATED COMPRESSIVE SENSING

According to one aspect, a Read-Out Integrated Circuit (ROIC) with integrated Compressive Sampling (CS) is provided. The ROIC includes an input to couple to a photodetector array including a plurality of photodetectors and is configured to generate compressed image data by sampling and summing the values of the plurality of photodetectors consistent with a set of Compressive Sampling Measurement Matrices and provide the resulting coded aggregates to a signal processor as compressed image data.

READ-OUT INTEGRATED CIRCUIT WITH INTEGRATED COMPRESSIVE SENSING

According to one aspect, a Read-Out Integrated Circuit (ROIC) with integrated Compressive Sampling (CS) is provided. The ROIC includes an input to couple to a photodetector array including a plurality of photodetectors and is configured to generate compressed image data by sampling and summing the values of the plurality of photodetectors consistent with a set of Compressive Sampling Measurement Matrices and provide the resulting coded aggregates to a signal processor as compressed image data.

INDICATION OF CURRENT VIEW DEPENDENCY ON REFERENCE VIEW IN MULTIVIEW CODING FILE FORMAT
20170134708 · 2017-05-11 ·

Techniques for encapsulating video streams containing multiple coded views in a media file are described herein. In one example, a method includes parsing a track of video data, wherein the track includes one or more views. The method further includes parsing information to determine whether a texture view or a depth view of a reference view is required for decoding at least one of the one or more views in the track. Another example method includes composing a track of video data, wherein the track includes one or more views and composing information that indicates whether a texture view or a depth view of a reference view is required for decoding at least one of the one or more views in the track.

Indication of presence of texture and depth views in tracks for multiview coding plus depth
09648299 · 2017-05-09 · ·

Techniques for encapsulating video streams containing multiple coded views in a media file are described herein. In one example, a method includes parsing a track of video data, wherein the track includes one or more views. The method further includes parsing information to determine whether the track includes only texture views, only depth views, or both texture and depth views. Another example method includes composing a track of video data, wherein the track includes one or more views and composing information that indicates whether the track includes only texture views, only depth views, or both texture and depth views.