A vehicular vision system includes a plurality of cameras disposed at a vehicle and having respective exterior fields of view. Each camera includes an image sensor and a microcontroller having memory, and each camera is in communication with a vehicle controller. Image data captured by the image sensor of each camera is communicated to the vehicle controller. The vehicle controller communicates control data to each camera, and the communicated control data is stored in memory of each camera. With the communicated control data stored in the memory of each camera, the vehicle controller communicates a trigger signal to each camera during operation of the vehicle and vision system. Responsive to the communicated trigger signal, the microcontroller of each camera loads parameters of the control data stored in the respective memory into the respective image sensor so that the parameters of the image sensors of all of the cameras are synchronized.

A camera module according to various embodiments of the present invention comprises a lens module including at least one lens, and an image sensor module coupled to the lens module, wherein the image sensor module comprises a micro lens, at least one photodiode, and a filter array, the filter array includes a first filter capable of transmitting light of a first designated band and a second filter capable of transmitting light of a second designated band corresponding to a color having a complementary color relationship with another color corresponding to the first designated band, and the filter array may be disposed between the micro lens and the at least one photodiode. Various other embodiments are possible.

An image is received from a camera built into a cabin of a vehicle. The image is demosaiced and its noise is reduced. A segmentation algorithm is applied to the image. A global illumination for the image is solved. Based on the segmentation of the image and the global illumination, a bidirectional reflectance distribution function (BRDF) for color and/or reflectance information of material in the cabin area of the vehicle is solved for. A white balance matrix and a color correction matrix for the image are computed based on the BRDF. The white balance matrix and the color correction matrix are applied to the image, which is then displayed or stored for addition image processing.

An image is received from a camera built into a cabin of a vehicle. The image is demosaiced and its noise is reduced. A segmentation algorithm is applied to the image. A global illumination for the image is solved. Based on the segmentation of the image and the global illumination, a bidirectional reflectance distribution function (BRDF) for color and/or reflectance information of material in the cabin area of the vehicle is solved for. A white balance matrix and a color correction matrix for the image are computed based on the BRDF. The white balance matrix and the color correction matrix are applied to the image, which is then displayed or stored for addition image processing.

A system for imaging a scene, includes a plurality of optical sensors arranged on an integrated circuit and a plurality of sets of interference filters, where each set of interference filters of the plurality of sets of interference filters includes a plurality of interference filters that are arranged in a pattern and each interference filter of the plurality of filters is configured to pass light in a different wavelength range, where each set of interference filters of the plurality of interference filters is associated with a spatial area of the scene. The system includes a plurality of rejection filters arranged in a pattern under each set of interference filters, where each rejection filter of the plurality of rejection filters is configured to substantially reject light of predetermined wavelengths. The system further includes one or more processors adapted to provide a spectral response for a spatial area of the scene associated with the set of interference filters.

A system for imaging a scene, includes a plurality of optical sensors arranged on an integrated circuit and a plurality of sets of interference filters, where each set of interference filters of the plurality of sets of interference filters includes a plurality of interference filters that are arranged in a pattern and each interference filter of the plurality of filters is configured to pass light in a different wavelength range, where each set of interference filters of the plurality of interference filters is associated with a spatial area of the scene. The system includes a plurality of rejection filters arranged in a pattern under each set of interference filters, where each rejection filter of the plurality of rejection filters is configured to substantially reject light of predetermined wavelengths. The system further includes one or more processors adapted to provide a spectral response for a spatial area of the scene associated with the set of interference filters.

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 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 apparatus includes an imaging unit, a setting unit configured to set automatic modes, an adjustment unit configured to adjust a white balance of a signal based on an automatic mode set by the setting unit, a recording control unit configured to record the adjusted signal into a recording unit, a display control unit configured to display the adjusted signal on a display unit, and an acquisition unit configured to acquire ambient light information, wherein the display control unit further adjusts a color balance of the displayed signal based on the set automatic mode and the acquired ambient light information.

An image-sensing device is disclosed, the image-sensing device comprising a multispectral sensor and a processor communicably coupled to the multispectral sensor. The processor is configured to determine an ambient light source classification based on a comparison of predefined spectral data to data corresponding to an output of the multispectral sensor. Also disclosed is a method of classifying an ambient light source by sensing a spectrum of light with a multispectral sensor; and determining an ambient light source classification based on a comparison of predefined spectral data to data corresponding to an output of the multispectral sensor. An associated computer program, computer-readable medium and data processing apparatus are also disclosed.