In some examples, a method comprises receiving pixel data from an image capture device having a color filter, wherein the pixel data represents a portion of an image. The method further includes performing wavelet decomposition on the pixel data to produce decomposed pixel data and determining a local intensity of the pixel data. The method also includes determining a noise threshold value based on the local intensity and a noise intensity function that is based on the color filter; determining a noise value for the pixel data based on the decomposed pixel data and the noise threshold value; and correcting the pixel data based on the noise value to produce an output image.

Systems, apparatuses, and methods for improved reconfigurable optical sensing are provided. For instance, an example optical sensing apparatus can include a photodetector array including a plurality of photodetectors. The optical sensing apparatus can include circuitry or one or more processing devices configured to receive one or more electrical signals representing an optical signal received by a first subset of the plurality of photodetectors; determine, based on the one or more electrical signals, a region of interest in the photodetector array for optical measurements; and deactivate, based on the region of interest, a second subset of the plurality of photodetectors of the photodetector array.

The image processing apparatus generates recording image data by image capturing through an image capturing optical system, and adds information to the recording image data. When the image capturing optical system is an anamorphic optical system, the apparatus adds, to the recording image data, information on a compression rate of the anamorphic optical system, and information indicating a center position of the anamorphic optical system in each of frame images constituting the recording image data.

An image processing apparatus includes: an acquisition unit configured to acquire a captured image of 1 frame as an Nth frame image; and a control unit configured to (1) record the Nth frame image in a memory, (2) enlarge an region having a predetermined aspect ratio in a horizontal direction wherein the region is a part of an image of a frame prior to the Nth frame recorded in the memory, and (3) display the enlarged region, within a period in which the Nth frame image is acquired and recorded.

Example embodiments relate to microlensing for real-time sensing of stray light. An example device includes an image sensor that includes a plurality of light-sensitive pixels. The device also includes a first lens positioned over a first subset of light-sensitive pixels selected from the plurality of light-sensitive pixels. Further, the device includes a controller. The controller is configured to determine a first angle of incidence of a first light signal detected by the first subset of light-sensitive pixels. The controller is also configured to, based on the first determined angle of incidence, determine an amount of stray light incident on the image sensor.

According to one embodiment, a ranging device includes storage and a processor. The storage is configured to store a statistical model generated by learning a bokeh that occurs in a first image affected by aberration of an optical system of a capture unit. The processor is configured to acquire a second image captured by the capture unit, acquire focus position information when the second image was captured, acquire a bokeh value indicating a bokeh of a subject in the second image, which is output from the statistical model by inputting the acquired second image to the statistical model, and convert the acquired bokeh value into a distance to the subject based on the acquired focus position information.

Systems and methods are disclosed for image signal processing. For example, methods may include receiving a current image of a sequence of images from an image sensor; combining the current image with a recirculated image to obtain a noise reduced image, where the recirculated image is based on one or more previous images of the sequence of images from the image sensor; determining a noise map for the noise reduced image, where the noise map is determined based on estimates of noise levels for pixels in the current image, a noise map for the recirculated image, and a set of mixing weights; recirculating the noise map with the noise reduced image to combine the noise reduced image with a next image of the sequence of images from the image sensor; and storing, displaying, or transmitting an output image that is based on the noise reduced image.

Systems and methods are disclosed for image signal processing. For example, methods may include receiving a current image of a sequence of images from an image sensor; combining the current image with a recirculated image to obtain a noise reduced image, where the recirculated image is based on one or more previous images of the sequence of images from the image sensor; determining a noise map for the noise reduced image, where the noise map is determined based on estimates of noise levels for pixels in the current image, a noise map for the recirculated image, and a set of mixing weights; recirculating the noise map with the noise reduced image to combine the noise reduced image with a next image of the sequence of images from the image sensor; and storing, displaying, or transmitting an output image that is based on the noise reduced image.

Systems, articles and methods to provide lens shading color correction using block matching are disclosed. Example processor systems disclosed herein are to process at least one cluster of blocks of an image to determine at least one modification parameter, modify the first shade correction data based on the at least one modification parameter to determine second shade correction data, and correct a lens shade effect associated with the image based on the second shade correction data.

A three-dimensional (3D) sensing apparatus together with a projector subassembly is provided. The 3D sensing apparatus includes two cameras, which may be configured to capture ultraviolet and/or near-infrared light. The 3D sensing apparatus may also contain an optical filter and one or more computing processors that signal a simultaneous capture using the two cameras and processing the captured images into depth. The projector subassembly of the 3D sensing apparatus includes a laser diode, one or optical elements, and a photodiode that are useable to enable 3D capture.