Abstract: An image processing method, apparatus, and an electronic device. The method includes: adjusting an original luminance parameter of a pixel point in an image based on a luminance adjustment strategy to obtain an adjusted luminance parameter; determining a luminance change parameter of the pixel point according to the original luminance parameter and the adjusted luminance parameter, where the luminance change parameter is configured to represent a changing degree of the adjusted luminance parameter relative to the original luminance parameter; and adjusting an original saturation parameter of the pixel point based on the luminance change parameter to obtain an adjusted saturation parameter, so as to compensate for a saturation of the pixel point.

Abstract: The present application provides a system and a method for acquiring an image, an electronic device, and a computer-readable storage medium. The system for acquiring an image provided in the present application provides a correction reference with uniform illumination by adjusting the positional relationship between the light source and the correction reference, and acquires at least one image of the correction reference by the image acquisition device to be corrected. Wherein, the correction image obtained based on the at least one image may be used to perform lens shading correction on the image acquisition device. The system for acquiring an image does not require the use of an expensive integrating sphere, which may reduce purchase and maintenance costs of a testing device for obtaining a correction image.

Abstract: A method of determining a color value of a target object is provided. The method includes capturing an image having a color calibration object and a color reference object. Computed calibration color values for the color calibration object and a first computed reference color value for the color reference object may be determined based on the single first image. A color calibration coefficient may be determined. A corrected reference color value may be determined based on the color calibration coefficient and the first computed reference color value. A second image may be captured. A second computed reference color value of the color reference object and a computed object color value of the target object may be determined based on the second image. A corrected object color value may be determined based on the corrected reference color value, the second computed reference color value, and the computed object color value.

Abstract: In one aspect, a system for detecting blood in an oral cavity during toothbrushing is disclosed. A toothbrush includes a sensor configured to emit first light at a first wavelength and second light at a second wavelength, and receive reflected portions of the light, the reflected portions having a first intensity and a second intensity, respectively. For each of a plurality of different times of a brushing session, a processor calculates a ratio of the first intensity to the second intensity. The processor identifies peaks in the ratio over the different times and, based on the number of peaks in the ratio, determines whether hemoglobin is present in the oral cavity.

Abstract: In one embodiment, a method includes receiving identities of features of a first composition, and receiving a value of a property of the first composition. A learning model is trained using values of predefined characteristics of the features of the first composition, and the value of the property of the first composition. The learning model is then provided identities of second features of a second composition. Using the learning model, a value of a property of the second composition is determined and displayed.

Abstract: An example method of single-exposure multiple-frame image capture, making an HDR video, comprising, capturing a series of frames at an underexposed setting, selecting a reference image from the series of frames, aligning the series of frames to the reference image, merging the series of frames into one frame based on the reference image, indexing the reference image to a next frame in the series of frames, resulting in an indexed reference image, realigning the series of frames to the indexed reference image and remerging the series of frames into a single frame based on the indexed reference image.

Abstract: A system, apparatus, and/or method is disclosed for determining a value of a property of a considered chemical composition. An identity of a sample chemical composition may be received. A sample chemical composition may comprise ingredients. Each of the ingredients may be associated with a value of a chemoinformatic property of chemoinformatic properties of the sample chemical composition. A value of a property of the sample chemical composition and at least one of (1) the identity of the sample chemical composition or (2) the values of the chemoinformatic properties of the ingredients of the sample chemical composition may be input into a model. The value of the property of the considered chemical composition may be determined, via the model, based on at least one of (1) an identity of the considered chemical composition or (2) values of chemoinformatic properties of ingredients of the considered chemical composition.

Abstract: An example operation of depth map generation includes one or more of, simultaneously capturing a main-off camera image and an auxiliary-off camera image with an unpowered flash, sparse depth mapping an object based on the main-off camera image and the auxiliary-off camera image, capturing a main-on camera image with a powered flash, foreground probability mapping the object based on the main-off camera image and the main-on camera image and dense depth mapping the object based on the sparse depth map and the foreground probability map.

Abstract: A distributed light source couple-able to a mobile device, comprising, a distributed array of light emitting points and a mount connected to the distributed array and couple-able to the mobile device, the distributed array capable of light emission from a plurality of areas.

Abstract: This invention relates to oral care compositions comprising an effective amount of a basic amino acid in free or salt form, together with an antibacterial agent, and to methods of using and of making such compositions.

Abstract: A method of auto white balancing, including, receiving an original image, determining an RG logarithmic ratio of a set of red to green channel values of the original image, determining a BG logarithmic ratio of a set of blue to green channel values of the original image, determine an original two-dimensional histogram utilizing the RG logarithmic ratio and the BG logarithmic ratio, determine a Gaussian-blur two-dimensional histogram utilizing the RG logarithmic ratio and the BG logarithmic ratio, determining a sharpened two-dimensional histogram of a sharpened image utilizing the RG logarithmic ratio and the BG logarithmic ratio, determining a Laplacian-edge two-dimensional histogram of a Laplacian-edge image utilizing the RG logarithmic ratio and the BG logarithmic ratio and determining a white balancing gain utilizing a neural network based on the original 2D histogram, the Gaussian-blur 2D histogram, the sharpened 2D histogram and the Laplacian-edge 2D histogram.

Abstract: A method of image compression, including, receiving at least one unprocessed image frame, transforming a domain of the at least one unprocessed image frame to output a transformed domain dataset, block processing the transformed domain dataset to yield a blocked dataset, quantizing the blocked dataset to produce a quantized dataset and entropy encoding the quantized dataset to construct at least one compressed image frame.

Abstract: A method of auto white balancing, including, receiving an original image, determining an RG logarithmic ratio of a set of red to green channel values of the original image, determining a BG logarithmic ratio of a set of blue to green channel values of the original image, determine an original two-dimensional histogram utilizing the RG logarithmic ratio and the BG logarithmic ratio, determine a Gaussian-blur two-dimensional histogram utilizing the RG logarithmic ratio and the BG logarithmic ratio, determining a sharpened two-dimensional histogram of a sharpened image utilizing the RG logarithmic ratio and the BG logarithmic ratio, determining a Laplacian-edge two-dimensional histogram of a Laplacian-edge image utilizing the RG logarithmic ratio and the BG logarithmic ratio and determining a white balancing gain utilizing a neural network based on the original 2D histogram, the Gaussian-blur 2D histogram, the sharpened 2D histogram and the Laplacian-edge 2D histogram.

Abstract: A method of defect pixel correction, includes, receiving at least one center pixel signal in a plurality of frames, receiving a plurality of neighboring pixel signals adjacent the center pixel in the plurality of frames, determining a brightness of the center pixel signal, determining the brightness of the plurality of neighboring pixel signals, determining if the brightness of the center pixel signal exceeds a wounded pixel threshold of the plurality of neighboring pixel signals, determining a location of the center pixel having the brightness greater than the wounded pixel threshold in at least one frame, determining a number of reoccurrences of the center pixel having the brightness greater than the wounded pixel threshold, determining if the number of reoccurrences exceeds a defect pixel threshold and updating the at least one center pixel signal to a mean of the plurality of neighboring pixel signals.

Abstract: A system, apparatus, and/or method is disclosed for determining a value of a property of a considered chemical composition. An identity of a sample chemical composition may be received. A sample chemical composition may comprise ingredients. Each of the ingredients may be associated with a value of a chemoinformatic property of chemoinformatic properties of the sample chemical composition. A value of a property of the sample chemical composition and at least one of (1) the identity of the sample chemical composition or (2) the values of the chemoinformatic properties of the ingredients of the sample chemical composition may be input into a model. The value of the property of the considered chemical composition may be determined, via the model, based on at least one of (1) an identity of the considered chemical composition or (2) values of chemoinformatic properties of ingredients of the considered chemical composition.

Abstract: A method of defect pixel correction, includes, receiving at least one center pixel signal in a plurality of frames, receiving a plurality of neighboring pixel signals adjacent the center pixel in the plurality of frames, determining a brightness of the center pixel signal, determining the brightness of the plurality of neighboring pixel signals, determining if the brightness of the center pixel signal exceeds a wounded pixel threshold of the plurality of neighboring pixel signals, determining a location of the center pixel having the brightness greater than the wounded pixel threshold in at least one frame, determining a number of reoccurrences of the center pixel having the brightness greater than the wounded pixel threshold, determining if the number of reoccurrences exceeds a defect pixel threshold and updating the at least one center pixel signal to a mean of the plurality of neighboring pixel signals.

Abstract: A method to reduce a motion blur and a rolling shutter effect, comprising, receiving a main image frame, a main timing and a main exposure from a main camera, receiving a secondary image frame, a secondary timing and a secondary exposure from a secondary camera, correcting the secondary image frame to the main image frame, determining a delta timing based on the main timing and the secondary timing, determining a delta exposure based on the main exposure and the secondary exposure, determining a discrete motion of offset sequences based on the secondary image frame, determining a row-wise motion blur kernel based on the main image frame and the discrete motion of offset sequences and determining a spatially varying kernel deconvolution based on the main image frame and the row-wise motion blur kernel.

Abstract: A system for detecting blood in an oral cavity during toothbrushing. The system may include a toothbrush having a sensor that is configured to emit first light at a first wavelength and second light at a second wavelength, receive reflected portions of the first and second light, and generate a first signal indicative of a first intensity of the reflected portion of the first light and a second signal indicative of a second intensity of the reflected portion of the second light. The system may include a processor operably coupled to the sensor, the processor being configured to receive the first and second signals and calculate a ratio of the first intensity to the second intensity to determine whether hemoglobin/blood is present in the oral cavity. The processor may be a part of the toothbrush or a part of a portable electronic device such as a smart phone.

Abstract: A system, apparatus, and/or method is disclosed for producing a personal care product. An identity of a considered chemical composition may be input into a model (e.g., a machine learning model). The identity of the considered chemical composition may include ingredients. Each of the ingredients of the considered chemical composition may be associated with a value of a chemoinformatic property of chemoinformatic properties of the considered chemical composition. A value of the property of the considered chemical composition may be determined via the model. The value may be based on the identity of the considered chemical composition. The property of the considered chemical composition may be affected by an interaction of at least two of the ingredients of the considered chemical composition. A personal care product comprised of the considered chemical composition may be produced.