Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.

Methods and systems are disclosed using camera devices for deep channel and Convolutional Neural Network (CNN) images and formats. In one example, image values are captured by a color sensor array in an image capturing device or camera. The image values provide color channel data. The captured image values by the color sensor array are input to a CNN having at least one CNN layer. The CNN provides CNN channel data for each layer. The color channel data and CNN channel data is to form a deep channel image that stored in a memory. In another example, image values are captured by sensor array. The captured image values by the sensor array are input a CNN having a first CNN layer. An output is generated at the first CNN layer using the captured image values by the color sensor array. The output of the first CNN layer is stored as a feature map of the captured image.

Systems, apparatus, and methods for color space representation. Unlike television and other passively viewed content, action cameras enable the user to take an active role in content generation/modification. Ideally, image content can be transferred from action cameras to post-processing devices with minimal signal loss (noise introduction), however existing device ecosystems are often bottlenecked by commodity codecs and/or intermediary networks. Various embodiments of the present disclosure use an improved “transport” compression technique to preserve desirable signal codeword and noise codeword relationships for color space representation.

Systems, apparatus, and methods for color space representation. Unlike television and other passively viewed content, action cameras enable the user to take an active role in content generation/modification. Ideally, image content can be transferred from action cameras to post-processing devices with minimal signal loss (noise introduction), however existing device ecosystems are often bottlenecked by commodity codecs and/or intermediary networks. Various embodiments of the present disclosure use an improved “transport” compression technique to preserve desirable signal codeword and noise codeword relationships for color space representation.

An apparatus includes a camera and a processor circuit. The camera may be configured to capture color images in response to visible light and monochrome infrared images in response to infrared light. The processor circuit may be configured to extract color features from the color images and add color to corresponding monochrome features detected in the monochrome infrared images.

An apparatus includes a camera and a processor circuit. The camera may be configured to capture color images in response to visible light and monochrome infrared images in response to infrared light. The processor circuit may be configured to extract color features from the color images and add color to corresponding monochrome features detected in the monochrome infrared images.

Techniques are described for efficient high-resolution output of an image captured using a high-pixel-count image sensor based on pixel binning followed by luminance-guided umsampling. For example, an image sensor array is configured according to a red-green-blue-luminance (RGBL) CFA pattern, such that at least 50-percent of the imaging pixels of the array are luminance (L) pixels. Pixel binning is used during readout of the array to concurrently generate a downsampled RGB capture frame and a downsampled L capture frame. Following the readout, the L capture frame is upsampled (e.g., by upscaling and interpolation) to generate an L guide frame with 100-percent luminance density. An upsampled RGB frame can then be generated by interpolating the RGB capture frame based both on known neighboring RGB information (e.g., from the RGB capture frame and previously interpolated information), as adjusted based on local luminance information from the L guide frame.

An image capturing apparatus includes an image sensor configured to change an exposure condition for each of a plurality of exposure areas, each of the exposure areas including a single pixel or a plurality of pixels, and an image processing unit configured to perform steps of digital signal processing on a signal of a captured image includes generating a plurality of coupled areas in which the exposure areas are coupled based on a first threshold of the exposure condition, calculating a development parameter for each of the coupled areas, and applying the development parameter to the image processing unit for each of the exposure areas.

An imaging apparatus includes a storage portion that stores captured image data obtained by imaging a subject by an imaging element and is incorporated in the imaging element, an output portion that is incorporated in the imaging element, and a plurality of signal processing portions that are disposed outside the imaging element, in which the output portion includes a plurality of output lines each disposed in correspondence with each of the plurality of signal processing portions and outputs each of a plurality of pieces of image data into which the captured image data stored in the storage portion is divided, to a corresponding signal processing portion among the plurality of signal processing portions from the plurality of output lines, and any of the plurality of signal processing portions combines the plurality of pieces of image data.

An imaging apparatus includes a storage portion that stores captured image data obtained by imaging a subject by an imaging element and is incorporated in the imaging element, an output portion that is incorporated in the imaging element, and a plurality of signal processing portions that are disposed outside the imaging element, in which the output portion includes a plurality of output lines each disposed in correspondence with each of the plurality of signal processing portions and outputs each of a plurality of pieces of image data into which the captured image data stored in the storage portion is divided, to a corresponding signal processing portion among the plurality of signal processing portions from the plurality of output lines, and any of the plurality of signal processing portions combines the plurality of pieces of image data.