Abstract: An example apparatus includes a light source, first and second polarizers, an image sensor, a filter, and control circuitry. The light source outputs a light beam, and the first polarizer passes first polarized light from the output light beam and toward a sample. The image sensor collects light reflected from the sample responsive to the passed first polarized light. The second polarizer passes second polarized light from the reflected light and toward the image sensor. The filter selectively passes the reflected light in a visible light range and near infrared range (NIR) light range toward the image sensor. The control circuitry causes the first and second polarizers to adjust to different polarization angles, and collects the image data of the sample from the reflected light.

Abstract: Systems, Methods, and Apparatuses for an image sensor and a control system to cooperate with each photodiode in individual pixels to allow multiple pixels in a set of pixels to operate in a different imaging-mode of operation simultaneously within multiple window regions of the image. The image sensor has multiple window regions each capable of operating in different operating modes. Each pixel contains multiple photodiodes. The imager is fabricated with an additional semiconductor layer containing one or more metallization layers for interconnections and providing active CMOS circuits for control.

Abstract: Embodiments of the disclosed technologies include a method of capturing, using a mobile device, a best-focused image of a skin surface of a subject, the method including: setting a camera of the mobile device to a fixed focal length; capturing, using the camera, a current image of a plurality of images of the skin surface, the plurality of images having a sequence and including a first previous image captured, using the camera, previously to the current image and a second previous image captured, using the camera, previously to the first previous image; producing a modified image from the current image; transforming the modified image, using a Laplacian pyramid, to produce a plurality of first luminance values from the modified image and a plurality of second luminance values from the plurality of first luminance values; averaging a plurality of first squared values, each including a square of a corresponding first luminance value of the plurality of first luminance values, to produce a first energy value; av

Abstract: Device logic in a mobile device configures a processor to capture a series of images, such as a video, using a consumer-grade camera, and to analyze the images to determine the best-focused image, of the series of images, that captures a region of interest. The images may be of a textured surface, such as facial skin of a mobile device user. The processor sets a focal length of the camera to a fixed position for collecting the images. The processor may guide the user to position the mobile device for capturing the images, using audible cues. For each image, the processor crops the image to the region of interest, extracts luminance information, and determines one or more energy levels of the luminance via a Laplacian pyramid. The energy levels may be filtered, and then are compared to energy levels of the other images to determine the best-focused image.

Abstract: Systems, Methods, and Apparatuses for an image sensor and a control system to cooperate with each photodiode in individual pixels to allow multiple pixels in a set of pixels to operate in a different imaging-mode of operation simultaneously within multiple window regions of the image. The image sensor has multiple window regions each capable of operating in different operating modes. Each pixel contains multiple photodiodes. The imager is fabricated with an additional semiconductor layer containing one or more metallization layers for interconnections and providing active CMOS circuits for control.

Abstract: Device logic in a mobile device configures a processor to capture a series of images, such as a video, using a consumer-grade camera, and to analyze the images to determine the best-focused image, of the series of images, that captures a region of interest. The images may be of a textured surface, such as facial skin of a mobile device user. The processor sets a focal length of the camera to a fixed position for collecting the images. The processor may guide the user to position the mobile device for capturing the images, using audible cues. For each image, the processor crops the image to the region of interest, extracts luminance information, and determines one or more energy levels of the luminance via a Laplacian pyramid. The energy levels may be filtered, and then are compared to energy levels of the other images to determine the best-focused image.

Abstract: A method and apparatus for optimizing image quality based on scene content comprising a sensor for generating a sequence of frames where each frame in the sequence of frames comprises content representing a scene and a digital processor, coupled to the sensor, for performing scene content analysis and for establishing a window defining a number of input frames from the sensor and processed output frames, and for aligning and combining the number of frames in the window to form an output frame, wherein sensor parameters and frame combination parameters are adjusted based on scene content.

Abstract: A real-time modular video processing system (VPS) which can be scaled smoothly from relatively small systems with modest amounts of hardware to very large, very powerful systems with significantly more hardware. The modular video processing system includes a processing module containing at least one general purpose microprocessor which controls hardware and software operation of the video processing system using control data and which also facilitates communications with external devices. One or more video processing modules are also provided, each containing parallel pipelined video hardware which is programmable by the control data to provide different video processing operations on an input stream of video data. Each video processing module also contains one or more connections for accepting one or more daughterboards which each perform a particular image processing task.

Abstract: Digital signal processing circuitry implemented in ASICs or FPGAs is built by combining multi-component constructs (e.g. macrocells). These circuits may be modified to include a timing channel by augmenting selected ones of the constructs to include a path which propagates a timing signal with a delay that compensates for the signal processing delay through the construct. The selected constructs are those that are used in a critical processing path in the digital signal processing circuitry. A timing compensation circuit may also be defined as a construct. This block receives two digital data signals having accompanying timing signals and delays the first signal that provides valid data until the second signal also provides valid data, as determined by their timing signals. A configurable arithmetic and logic unit (ALU) made using these techniques includes a timing compensation circuit, a look-up table and an accumulator.