An image recognition system includes a color conversion module and a target recognition module. The color conversion module is configured to convert a gray-level image into a preset color image according to a conversion function. The target recognition module includes a machine learning algorithm, and the machine learning algorithm includes a plurality of functions and a plurality of parameters. The machine learning algorithm receives the preset color image, and outputs a recognition result according to the functions and the parameters, the recognition result including an existent target or a null target.

Bandwidth for image transfer is reduced through color channel reduction. An image can be converted to a color space with a luminance channel, and the image can be decolorized by removing channels except for the luminance channel. Transmission of the image can subsequently be initiated across a network utilizing less bandwidth than the colorized image. Further, a model, such as a convolutional neural network, can be generated and shared over the network. The model is operable to colorize an image with missing channel information. After receiving the decolorized image, the model can be invoked to re-colorize the image based on luminance data and any color hints provided. The model can also produce a custom colorization for a display, a user, or both.

An imaging system comprises two cameras and a processor. A first camera comprises a first grid of pixels configured to detect light in a broadband channel and a plurality of clusters of color filters sparsely arranged over the first grid of pixels. Each color filter passes light in a color channel to the grid of pixels. A second camera comprises a second grid of pixels configured to detect light in a broadband channel. The processor is configured to generate an aggregate image by combining a first image captured by the first camera and a second image captured by the second camera. The processor is also configured to add color values to the aggregate image based on color data captured by the first camera with the clusters of color filters. Additionally, the processor is configured to present the aggregate image with added color values on an electronic display.

An imaging system comprises two cameras and a processor. A first camera comprises a first grid of pixels configured to detect light in a broadband channel and a plurality of clusters of color filters sparsely arranged over the first grid of pixels. Each color filter passes light in a color channel to the grid of pixels. A second camera comprises a second grid of pixels configured to detect light in a broadband channel. The processor is configured to generate an aggregate image by combining a first image captured by the first camera and a second image captured by the second camera. The processor is also configured to add color values to the aggregate image based on color data captured by the first camera with the clusters of color filters. Additionally, the processor is configured to present the aggregate image with added color values on an electronic display.

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.

A method of displaying an image on a see-through display comprises: obtaining a first electro-magnetic radiation matrix of radiation intensity values of an object; dividing the first matrix into a second matrix representing a first subset of the radiation intensity values, and a third matrix representing a second subset of the radiation intensity values; generating a first grayscale image with an enhanced contrast representing the first subset of the radiation intensity values from the second matrix; colouring the first grayscale image with a first colourmap to obtain a first colour image; generating a second grayscale image representing the second subset of the radiation intensity values; colouring the second grayscale image with a second colourmap to obtain a second colour image; combining the first colour image and the second colour image; and displaying the combined colour image on the see-through display.

An image processing apparatus 1 includes a pre-processor 10 and a main processor 30. Th pre-processor 10 generates pre-processing data by performing a pre-processing of Bayer data outputted from an imaging device 91, and outputs the generated pre-processing data. The main processor 30 performs an image processing based on the pre-processing data.

An image processing apparatus 1 includes a pre-processor 10 and a main processor 30. Th pre-processor 10 generates pre-processing data by performing a pre-processing of Bayer data outputted from an imaging device 91, and outputs the generated pre-processing data. The main processor 30 performs an image processing based on the pre-processing data.

An image processing apparatus includes: at least one processor and/or at least one circuit to perform operations of the following units: an acquisition unit configured to acquire luminance information that indicates characteristic value of luminance of inputted image data; and a conversion unit configured to convert colors of the image data into conversion colors which are respectively associated with sub-ranges determined by dividing a luminance range of the image data using thresholds, wherein a first threshold of the thresholds is the characteristic value.

A method of displaying an image on a see-through display comprises: obtaining a first electro-magnetic radiation matrix of radiation intensity values of an object; dividing the first matrix into a second matrix representing a first subset of the radiation intensity values, and a third matrix representing a second subset of the radiation intensity values; generating a first histogram for the second matrix; equalizing the first histogram to obtain an equalised second histogram; generating a first grayscale image representing the first subset of the radiation intensity values; colouring the first grayscale image with a first colourmap to obtain a first colour image; generating a second grayscale image representing the second subset of the radiation intensity values; colouring the second grayscale image with a second colourmap to obtain a second colour image; combining the first colour image and the second colour image; and displaying the combined colour image on the see-through display.