Abstract: Provided is a method for preparing bencaosome comprising the steps of: mixing one or more lipid components with any one or more of the following: nucleic acid, compound and macromolecules, and treating the obtained mixture by heating. Also provided is a method for extracting decoctosome from plants comprising the steps of: preparing an extract of the plant with a solvent; performing differential centrifugation to the extract; resuspending the precipitates with an aqueous solution to provide the decoctosome.

Abstract: A plurality of terminal deoxynucleotidyl transferases (TdTs) and variants thereof are used for de novo synthesis of polynucleotides having controlled sequences and efficiently controllable synthesis of nucleic acid molecules without depending on a template. It is found that some amino acid residues in the TdT catalytic domain can be specifically modified to improve the ability of such modified TdTs to synthesize polynucleotides.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support improved demosaicing of color image signal. In a first aspect, a method of image processing includes receiving a first image frame and a second image frame. The method may also include determining a first demosaiced image frame by applying a first demosaic process to the first image frame and determining a second demosaiced image frame by applying a second demosaic process to the first image frame based on the second image frame. Blending weights may be determined based on the first image frame and the second image frame and a blended image frame may be determined by combining pixel values from corresponding portions of the first demosaiced image frame and the second demosaiced image frame according to the blending weights. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support image detail recovery using high frequency and low frequency components of an image frame. In a first aspect, a method of image processing includes receiving image data of an image frame, determining quad phase detection (QPD) image data for the image frame based on the image data for the image frame, and generating a first high frequency component of the image data for a first phase of the image data based on the QPD image data. Other aspects and features are also claimed and described.

Abstract: An apparatus for image processing includes one or more processors configured to receive first image data in a first color format that includes a plurality of color planes at a reduced resolution relative to a full resolution, generate second image data in an intermediate color format based on the first image data in the first color format, the intermediate color format includes a first color plane at an increased resolution and at least one of the plurality of color planes at the reduced resolution, store, in the one or more external memories, the second image data, perform image processing based on accessing the second image data, and generate third image data based on the image processing, the third image data is in a third color format that includes the plurality of color planes at a same resolution.

Abstract: Provided is a method for preparing bencaosome comprising the steps of: mixing one or more lipid components with any one or more of the following: nucleic acid, compound and mancromolecules, and treating the obtained mixture by heating. Also provided is a method for extracting decoctosome from plants comprising the steps of: preparing an extract of the plant with a solvent; performing differential centrifugation to the extract; resuspending the precipitates with an aqueous solution to provide the decoctosome.

Abstract: Systems and techniques are described herein for enhancing depth representations based on amplitudes of time-of-flight signals. For instance, a computing device can obtain a depth representation of a scene. The depth representation includes depth values based on a time of flight (ToF) signal. The computing device can obtain amplitude values corresponding to the depth values of the depth representation. The amplitude values are based on the ToF signal. The computing device can determine a mask for the depth values based on the depth values and the amplitude values.

Abstract: Systems and techniques are described herein for enhancing depth representations based on amplitudes of time-of-flight signals. For instance, a computing device can obtain a depth representation of a scene. The depth representation includes depth values based on a time of flight (ToF) signal. The computing device can obtain amplitude values corresponding to the depth values of the depth representation. The amplitude values are based on the ToF signal. The computing device can smooth the depth values based on the depth values and the amplitude values.

Abstract: An apparatus configured for sensor processing is configured to receive a current frame of raw data from an indirect ToF sensor, wherein the raw data comprises an in-phase component and a quadrature component for each pixel of the current frame. The apparatus may jointly apply a first spatial noise reduction filter to the in-phase components and the quadrature components of the current frame, jointly apply, after the first spatial noise reduction filter, a temporal filter to the in-phase components and the quadrature components of the current frame, and jointly apply, after the temporal filter, a second spatial noise reduction filter to the in-phase components and the quadrature components of the current frame to produce a filtered current frame. The apparatus may then output the filtered current frame and use the filtered current frame to determine depth value for other applications.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support high dynamic range (HDR) image processing. In a first aspect, a method of image processing includes receiving, by a processor, first image data comprising a plurality of image frames comprising at least a first image frame having a first bitwidth and a second image frame having a second bitwidth, wherein the plurality of image frames represent a same scene; and determining a processed image frame having an output bitwidth higher than the first bitwidth and higher than the second bitwidth, the processed image frame based on the plurality of image frames by combining the plurality of image frames to obtain the output bitwidth. Other aspects and features are also claimed and described.

Abstract: Systems and methods for image fusing are described. In examples, a first image of a scene may be obtained associated with a first parameter and a second image of the scene may be obtained associated with a second parameter. The first image and the second image may be fused to obtain at least one first fused image. A third image of the scene may be obtained associated with a third parameter and a fourth image of the scene may be obtained associated with a fourth image. At least one parameter associated with the third image and the fourth image used to obtain the images may be adjusted, wherein the adjustment may be based at least in part on a field of view of the at least one first fused image. The third image and the fourth image may be fused to obtain a second fused image.

Abstract: Systems and techniques are described herein for determining depth information. For instance, a method for determining depth information is provided. The method may include transmitting electromagnetic (EM) radiation toward a plurality of points in an environment; comparing a phase of the transmitted EM radiation with a phase of received EM radiation to determine a respective time-of-flight estimate of the EM radiation between transmission and reception for each point of the plurality of points in the environment; determining first depth information based on the respective time-of-flight estimates determined for each point of the plurality of points in the environment; obtaining second depth information based on an image of the environment; comparing the first depth information with the second depth information to determine an inconsistency between the first depth information and the second depth information; and adjusting a depth of the first depth information based on the inconsistency.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support improved detail keeping in photography through increased dynamic range and/or highlight-keeping. The image signal processing may be performed on data received from a split-pixel image sensor with two sets of sensor elements with different sensitivities. The image signal processing may include receiving image data comprising: first data from a first set of sensor elements and second data from a second set of sensor elements capturing a representation of the scene with a different sensitivity that the first set of sensor elements; determining an output dynamic range for an output image frame; and determining an output image frame based on at least one of the first data and the second data and based on the output dynamic range. Other aspects and features are also claimed and described.

Abstract: Imaging systems and techniques are described. An imaging system determines, based on image data of a scene received from an image sensor, a first plurality of pixel values corresponding to a first electromagnetic (EM) frequency domain and a second plurality of pixel values corresponding to a second EM frequency domain. The imaging system reduces the first plurality of pixel values using a plurality of cross-domain contamination values (based on the second plurality of pixel values) to generate a third plurality of pixel values The imaging system increases a luminance (and/or a SNR) of the third plurality of pixel values using a plurality of luminance adjustment values (that are based on the second plurality of pixel values) to generate a fourth plurality of pixel values. The imaging system outputs an image that includes the fourth plurality of pixel values.

Abstract: This disclosure provides systems, methods, and devices for image signal processing detect and correct motion during HDR fusion. In a first aspect, a method is provided that includes receiving a first image frame, a second image frame, and a third image frame. The second image frame may be captured with a short exposure time and the third image frame may be captured with a long exposure time. The method may include determining a first motion map based on the first and third image frames and a second motion map based on the second and third image frames. A third motion map may be determined based on the first and second motion maps and used to determine a fourth image frame by combining the second and third image frames. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support image correction, including lens shading correction (LSC). In a first aspect, a method of image processing includes receiving first image data comprising a first image frame from a camera module; receiving one-dimensional lens shading correction (LSC) factors; and determining an output image frame based on the first image frame by: interpolating a plurality of correction values corresponding to two-dimensional locations of the first image frame by interpolating the one-dimensional lens shading correction (LSC) factors; and applying the plurality of correction values to corresponding locations of the first image frame, wherein applying the plurality of correction values corrects a lens shading effect of the camera module. Other aspects and features are also claimed and described.

Abstract: Imaging systems and techniques are described. An imaging system determines, based on image data of a scene received from an image sensor, a first plurality of pixel values corresponding to a first electromagnetic (EM) frequency domain and a second plurality of pixel values corresponding to a second EM frequency domain. The imaging system reduces the first plurality of pixel values using a plurality of cross-domain contamination values (based on the second plurality of pixel values) to generate a third plurality of pixel values. The imaging system determines a reconstructed pixel value based on a combination of at least an overexposed pixel value of the first plurality of pixel values and a corresponding pixel of the third plurality of pixel values. The imaging system outputs a reconstructed image that includes the reconstructed pixel value and a subset of the third plurality of pixel values.

Abstract: Imaging systems and techniques are described. An imaging system determines, based on image data of a scene received from an image sensor, a first plurality of pixel values corresponding to a first electromagnetic (EM) frequency domain and a second plurality of pixel values corresponding to a second EM frequency domain. The imaging system reduces the first plurality of pixel values using a plurality of cross-domain contamination values (based on the second plurality of pixel values) to generate a third plurality of pixel values. The imaging system determines a reconstructed pixel value based on a combination of at least an overexposed pixel value of the first plurality of pixel values and a corresponding pixel of the third plurality of pixel values. The imaging system outputs a reconstructed image that includes the reconstructed pixel value and a subset of the third plurality of pixel values.

Abstract: This disclosure provides systems, methods, and devices for image processing that supports high dynamic range (HDR) photography. In some aspects, a method of generating a full-resolution HDR photograph with in-sensor zoom includes receiving first and second image data corresponding to first and second exposure captures of a scene. First and second full-resolution image frames may be generated from the first and second image data, which are subsequently processed with HDR fusion to obtain an output image frame with higher dynamic range than either the first or second image data. The first full-resolution image frame may be determined from both the first and second image data by compensating the second image data for differences between the first and second exposures. Other aspects and features are also claimed and described.

Abstract: Image frames for computational photography may be corrected, such as through rolling shutter correction (RSC), prior to fusion of the image frames to reduce wobble and jitter artifacts present in a video sequence of HDR-enhanced image frames. First and second motion data regarding motion of the image capture device may be determined for times corresponding to the capturing of the first and second image frames, respectively. The rolling shutter correction (RSC) may be applied to the first and second image frames based on both the first and second motion data. The corrected first and second image frames may then be aligned and fused to obtain a single output image frame with higher dynamic range than either of the first or second image frames.