Abstract: Methods, systems, and apparatuses for image segmentation are provided. For example, a computing device may obtain an image, and may apply a process to the image to generate input image feature data and input image segmentation data. Further, the computing device may obtain reference image feature data and reference image classification data for a plurality of reference images. The computing device may generate reference image segmentation data based on the reference image feature data, the reference image classification data, and the input image feature data. The computing device may further blend the input image segmentation data and the reference image segmentation data to generate blended image segmentation data. The computing device may store the blended image segmentation data within a data repository. In some examples, the computing device provides the blended image segmentation data for display.

Abstract: Systems and techniques are described herein for generating image content. For instance, an apparatus for generating image content is provided. The method may include a user interface configured to: display an image of a field of view; and receive a user input indicative of a desired change to the image, wherein the desired change to the image comprises a change to the field of view; and at least one processor configured to: provide at least part of the image and an indication of the desired change as inputs to a generative machine-learning model; obtain an altered image from the generative machine-learning model, wherein the altered image comprises at least part of the image of the field of view and generated pixels outside of the field of view.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support image signal processing of exposure bracketed image frames. In a first aspect, a method of image processing includes receiving, by at least one processor, image data comprising first image data of a first exposure duration, second image data of a second exposure duration, and third image data of a third exposure duration, wherein the first exposure duration is equal to the third exposure duration; determining, by the at least one processor, fourth image data by subtracting corresponding pixel intensity values of the third image data from the second image data; and determining, by the at least one processor, a first output image frame by combining the fourth image data with the first image data. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support high dynamic range (HDR) image processing on image frames with temporally-aligned centers to reduce artifacts resulting from fusing image frames with different temporal centers. In some aspects, a method of image processing includes capturing three or more image frames having at least two different exposure lengths. The three or more image frames are processed to obtain two image frames with temporally-aligned centers, and those two image frames are processed in HDR fusion logic to obtain an output HDR image frame. Other aspects and features are also claimed and described.

Abstract: A self-timed readout driver for a leakage-based physical unclonable function (L-PUF) device, a L-PUF array using the same, and applications thereof are provided. The self-timed readout driver includes a precharge transistor, an inverter and a leaky device. The precharge transistor has a control end, a first end and a second end. The inverter is electrically connected to the second end of the precharge transistor. The leaky device having a control end electrically connected to ground, a first end electrically connected to the second end of the precharge transistor, and a second end electrically connected to ground. The control end of the precharge transistor is configured to receive an input signal. The inverter is configured to generate a sense enable (SE) signal. The input signal and the SE signal may be used as two input signals for the L-PUF device.

Abstract: A leakage-based physical unclonable function (L-PUF) device, a L-PUF array and applications thereof are provided. The L-PUF device includes a precharge circuit, two leaky devices and a sense amplifier. The two leaky devices are electrically connected to the precharge circuit respectively. Each leaky device includes a transistor having a control end electrically connected to ground, a first end electrically connected to the precharge circuit and a second end electrically connected to ground. The sense amplifier is electrically connected to the first end of each of the two leaky devices, and may generate a first output signal and a second output signal. The sense amplifier may switch between a first state and a second state based on a voltage difference between the first leaky device and the second leaky device, which is determined by a leakage current of the first leaky device and a leakage current of the second leaky device.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support spatially-adaptive binning and remosaicing of image data. In a first aspect, a method of image processing includes receiving image data comprising at least a portion of an image frame. A first portion of the image data is coded according to a first binning pattern, and a second portion of the image data is coded according to a second binning pattern different from the first binning pattern. Other aspects and features are also claimed and described.

Abstract: Systems and techniques are described herein for determining changes in distance. For instance, an apparatus for determining changes in distance is provided. The apparatus may include an electromagnetic (EM)-radiation emitter configured to emit EM radiation toward an environment; a detector configured to receive reflected EM radiation from the environment; phase-calculation circuitry configured to calculate a phase-difference value indicative of a difference between a phase of the emitted EM radiation and a phase of the reflected EM radiation; and differencing circuitry configured to trigger an event responsive to a difference between a current phase-difference value and a prior phase-difference value exceeding a threshold.

Abstract: Systems and techniques are described herein for modifying the scale and/or position of objects in images. For instance, a system can obtain a two-dimensional (2D) input image from a camera and a three-dimensional (3D) representation of the 2D input image. The system can further determine a first portion of the 3D representation of the 2D input image corresponding to a target object in the 2D input image. The system can adjust a pose of the first portion of the 3D representation of the 2D input image corresponding to the target object. The system can further generate a 2D output image having a modified version of the target object based on the adjusted pose of the first portion of the 3D representation of the 2D input image corresponding to the target object to be output on a display.

Abstract: Systems and techniques are described herein for processing data (e.g., image data) using convolution as a transformer (CAT) operations. The method includes receiving, at a convolution engine of a machine learning system, a first set of features, the first set of features being associated with an image and having a three-dimensional shape, applying, via the convolution engine, a depth-wise separable convolutional filter to the first set of features to generate a first output, applying, via the convolution engine, a pointwise convolutional filter to the first output to generate a second output based on global information from a spatial dimension and a channel dimension associated with the image, modifying the second output to the three-dimensional shape to generate a second set of features and combining the first set of features and the second set of features to generate an output set of features.

Abstract: Systems and techniques are described herein for modifying the scale and/or position of objects in images. For instance, a system can obtain a two-dimensional (2D) input image from a camera and a three-dimensional (3D) representation of the 2D input image. The system can further determine a first portion of the 3D representation of the 2D input image corresponding to a target object in the 2D input image. The system can adjust a pose of the first portion of the 3D representation of the 2D input image corresponding to the target object. The system can further generate a 2D output image having a modified version of the target object based on the adjusted pose of the first portion of the 3D representation of the 2D input image corresponding to the target object to be output on a display.

Abstract: Methods, systems, and apparatuses for image segmentation are provided. For example, a computing device may obtain an image, and may apply a process to the image to generate input image feature data and input image segmentation data. Further, the computing device may obtain reference image feature data and reference image classification data for a plurality of reference images. The computing device may generate reference image segmentation data based on the reference image feature data, the reference image classification data, and the input image feature data. The computing device may further blend the input image segmentation data and the reference image segmentation data to generate blended image segmentation data. The computing device may store the blended image segmentation data within a data repository. In some examples, the computing device provides the blended image segmentation data for display.

Abstract: The present disclosure provides a multi-state one-time programmable (MSOTP) memory circuit including a memory cell and a programming voltage driving circuit. The memory cell includes a MOS storage transistor, a first MOS access transistor and a second MOS access transistor electrically connected to store two bits of data. When the memory cell is in a writing state, the programming voltage driving circuit outputs a writing control potential to the gate of the MOS storage transistor, and when the memory cell is in a reading state, the programming voltage driving circuit outputs a reading control potential to the gate of the MOS storage transistor.

Abstract: Systems and techniques are described for processing image data to generate an image with a synthetic depth of field (DoF). An imaging system receives first image data of a scene captured by a first image sensor. The imaging system receives second image data of the scene captured by a second image sensor. The first image sensor is offset from the second image sensor by an offset distance. The imaging system generates, using at least the first image data and the second image data as inputs to one or more trained machine learning systems, an image having a synthetic depth of field corresponding to a simulated aperture size. The simulated aperture size is associated with the offset distance. The imaging system outputs the image.

Abstract: Systems and techniques are described herein for modifying the scale and/or position of objects in images. For instance, a system can obtain a two-dimensional (2D) input image from a camera and a three-dimensional (3D) representation of the 2D input image. The system can further determine a first portion of the 3D representation of the 2D input image corresponding to a target object in the 2D input image. The system can adjust a pose of the first portion of the 3D representation of the 2D input image corresponding to the target object. The system can further generate a 2D output image having a modified version of the target object based on the adjusted pose of the first portion of the 3D representation of the 2D input image corresponding to the target object to be output on a display.

Abstract: Systems and techniques are described herein for modifying the scale and/or position of objects in images. For instance, a system can obtain a two-dimensional (2D) input image from a camera and a three-dimensional (3D) representation of the 2D input image. The system can further determine a first portion of the 3D representation of the 2D input image corresponding to a target object in the 2D input image. The system can adjust a pose of the first portion of the 3D representation of the 2D input image corresponding to the target object. The system can further generate a 2D output image having a modified version of the target object based on the adjusted pose of the first portion of the 3D representation of the 2D input image corresponding to the target object to be output on a display.

Abstract: Systems and techniques are described for processing image data to generate an image with a synthetic depth of field (DoF). An imaging system receives first image data of a scene captured by a first image sensor. The imaging system receives second image data of the scene captured by a second image sensor. The first image sensor is offset from the second image sensor by an offset distance. The imaging system generates, using at least the first image data and the second image data as inputs to one or more trained machine learning systems, an image having a synthetic depth of field corresponding to a simulated aperture size. The simulated aperture size is associated with the offset distance. The imaging system outputs the image.

Abstract: A handheld device and a frequency tracking method thereof are provided. The handheld device comprises an oscillator, a radio frequency (RF) chip, a modem module, a first thermal sensor and a thermal module. The oscillator generates an oscillation signal with an oscillation frequency. The RF chip is electrically connected to the oscillator and configured to receive a paging signal from a paging channel and an RF signal from a non-regular channel based on the oscillation signal. The modem module is electrically connected to the RF chip. The first thermal sensor disposed close to the oscillator measures a heat source temperature. The thermal module electrically connected to the modem module and the first thermal sensor enables the modem module to execute a frequency compensation process by using the RF signal of both the paging signal and the RF signal according to the heat source temperature.

Abstract: A handheld device and a frequency tracking method thereof are provided. The handheld device comprises an oscillator, a radio frequency (RF) chip, a modem module, a first thermal sensor and a thermal module. The oscillator generates an oscillation signal with an oscillation frequency. The RF chip is electrically connected to the oscillator and configured to receive a paging signal from a paging channel and an RF signal from a non-regular channel based on the oscillation signal. The modem module is electrically connected to the RF chip. The first thermal sensor disposed close to the oscillator measures a heat source temperature. The thermal module electrically connected to the modem module and the first thermal sensor enables the modem module to execute a frequency compensation process by using the RF signal of both the paging signal and the RF signal according to the heat source temperature.

Abstract: A surrounding cell monitoring method is applied in a mobile terminal wirelessly communicating with a first cell through a first target channel. The surrounding cell monitoring method includes the steps of: determining whether adjacent channel interference (ACI) of the target channel exists; determining whether a first power level of the adjacent channel is greater than a second power level of the target channel by a threshold difference when the ACI exists, when the ACI does exist; determining whether an adjacent BSIC of the adjacent channel can be decoded when the first power level is greater than the second power level by the threshold difference; and skipping an operation of decoding a target BSIC of the target channel when the adjacent BSIC of the adjacent channel can be decoded successfully.