An image processing apparatus includes a correction unit configured to correct first image data acquired via an image pickup optical system and to generate second image data using a filter generated based on a characteristic of the image pickup optical system, a decomposition unit configured to decompose each of the first image data and the second image data into a first frequency component and a second frequency component, a combination unit configured to combine the first frequency component of the first image data and the first frequency component of the second image data with each other, and a generation unit configured to generate third image data based on a frequency component including the first frequency component combined by the combination unit and the second frequency component of the second image data.

Methods and systems for acquiring and/or projecting images from and/or to a target area are provided. Such a method or system can includes an optical fiber assembly which may be driven to scan the target area in a scan pattern. The optical fiber assembly may provide multiple effective light sources (e.g., via a plurality of optical fibers) that are axially staggered with respect to an optical system located between the optical fiber and the target area. The optical system may be operable to focus and/or redirect the light from the multiple light sources onto separate focal planes. A composite image may be generated based on light reflected from and/or projected onto the separate focal planes. The composite image may have an extended depth of focus or field spanning over a distance between the separate focal planes while maintaining or improving image resolution.

An image capturing apparatus is provided, including: a first camera module and a second camera module configured to capture an image of a same subject; and a controller configured to map a second image obtained from the second camera module to a first image obtained from the first camera module, and to synthesize a third image of the subject using the first image and the mapped second image, wherein an image sensor included in the first camera module has a first pixel structure in which a pixel has a square shape, and an image sensor included in the second camera module has a second pixel structure that is different from the first pixel structure.

A cooking apparatus including an image capturer and a processor configured to identify a food object from a plurality of images obtained through the image capturer, adjust a capture interval at which an image of the food object is obtained in real time through the image capturer based on information about a cooking state change of the identified food object, and generate a video based on the captured image obtained according to the adjusted capture interval.

A 3 MOS camera includes a first prism that causes a first image sensor to receive IR light of light from an observation part, a second prism that causes a second image sensor to receive visible light of A % (A: a predetermined real number) of the light from the observation part, a third prism that causes a third image sensor to receive remaining visible light of (100-A)% of the light from the observation part, and a video signal processor that combines a color video signal based on imaging outputs of the second image sensor and the third image sensor and an IR video signal based on an imaging output of the first image sensor and outputs the combined signal to a monitor, the second image sensor and the third image sensor being respectively bonded to positions optically shifted by substantially one pixel.

Embodiments relate to a super-resolution engine that converts a lower resolution input image into a higher resolution output image. The super-resolution engine includes a directional scaler, an enhancement processor, a feature detection processor, a blending logic circuit, and a neural network. The directional scaler generates directionally scaled image data by upscaling the input image. The enhancement processor generates enhanced image data by applying an example-based enhancement, a peaking filter, or some other type of non-neural network image processing scheme to the directionally scaled image data. The feature detection processor determines features indicating properties of portions of the directionally scaled image data. The neural network generates residual values defining differences between a target result of the super-resolution enhancement and the directionally scaled image data. The blending logic circuit blends the enhanced image data with the residual values according to the features.

A video conferencing system is disclosed. The video conferencing system includes a transmitter and a receiver. When the transmitter is coupled to a port of an information processing apparatus, the transmitter communicates with the information processing apparatus to determine whether the port of the information processing apparatus has video output function. When the above determination result is no, the transmitter emits a wireless signal. The transmitter is coupled to a display apparatus and used to receive the wireless signal and provide a default warning message to the display apparatus.

An image capturing apparatus comprises an image sensor, a controller, and a signal processor. The image sensor includes pixels each having a photoelectric conversion element and a signal storing unit. when in a simple reproduction mode in which the image signals read out from the image sensor undergo simple reproduction, the controller stores, in the signal storing unit, image signals from all pixels output from the image sensor, converts the size of the image signals stored in the signal storing unit into a size for simple reproduction to transfer the image signals to the signal processor, and upon the simple reproduction starting, the image signals from all pixels stored in the signal storing unit are transferred to the signal processor.

A sensing device with an odd-symmetry grating projects near-field spatial modulations onto a closely spaced photodetector array. Due to physical properties of the grating, the spatial modulations are in focus for a range of wavelengths and spacings. The spatial modulations are captured by the array, and photographs and other image information can be extracted from the resultant data. Used in conjunction with a converging optical element, versions of these gratings provide depth information about objects in an imaged scene. This depth information can be computationally extracted to obtain a depth map of the scene.

Certain aspects relate to imaging systems and methods for manufacturing imaging systems and image sensors. The imaging system includes a pixel array including a plurality of pixels, the pixels configured to generate a charge when exposed to light and disposed on a first layer. The imaging system further includes a plurality of pixel circuits for reading light integrated in the pixels coupled thereto, each of the plurality of pixel circuits comprising one or more transistors shared between a subset of the plurality of the pixels, the one or more transistors disposed on a second layer different than the first layer. The imaging system further includes a plurality of floating diffusion nodes configured to couple each of the plurality of pixels to the plurality of pixel circuits.