The present invention provides a technique of reducing colored afterimages. To solve this problem, an image capturing system includes the following structure: A color separation optical system disperses subject light into a plurality of wavelength ranges, and forms images of a plurality of color components. A plurality of image capturing elements capture the respective images of the plurality of color components, and generate the respective color components of a video signal. A color-specific exposure setting unit sets respective exposure periods for the plurality of color components. An exposure control unit performs exposure control α of approximately simultaneously exposure-controlling each of the plurality of image capturing elements to obtain a video signal (hereafter referred to as a reference video signal) in a common period shorter than or equal to a shortest period of the respective exposure periods set for the color components. The exposure control unit also performs exposure control β of exposure-controlling each of the plurality of image capturing elements to obtain a video signal (hereafter referred to as an extended video signal) in a period obtained by subtracting the common period from an exposure period of a corresponding color component.

Provided is an information processing apparatus including an acquisition unit that acquires a second image obtained by photographing a color sample by a second camera device and by developing, and an estimation unit that estimates a second 3D-LUT for reproducing, by the first camera device, a color of the color sample in the second image by inputting the second image to a model that has learned a first image obtained by photographing the color sample under a standard light source by a first camera device and by developing as input data and a first 3D lookup table (3D-LUT) used for developing the first image as correct answer data. As a result, the 3D-LUT can be generated more easily.

It is possible to capture video information using one or more body mounted cameras, to transmit that information over a wireless communication channel, and to process that information, such as by using angular momentum information captured by gyroscopes, to obtain an image which is suitable for viewing in real time. This technology can be applied in a variety of contexts, such as sporting events, and can also be applied to information which is captured and stored for later use, either in addition to, or as an alternative to, streaming that information for real time viewing. Such video information can be captured by components fully enclosed within a hat clip enclosure that is mountable on a brim of a hat.

The invention is relates to systems and methods for high dynamic range (HDR) image capture and video processing in mobile devices. Aspects of the invention include a mobile device, such as a smartphone or digital mobile camera, including at least two image sensors fixed in a co-planar arrangement to a substrate and an optical splitting system configured to reflect at least about 90% of incident light received through an aperture of the mobile device onto the co-planar image sensors, to thereby capture a HDR image. In some embodiments, greater than about 95% of the incident light received through the aperture of the device is reflected onto the image sensors.

An image processing apparatus includes: an input device to which images before color conversion and images after color conversion are input; and a processor. The processor is configured to execute a program to perform color conversion on a sample image using color conversion characteristics prepared by inputting sets of the images before color conversion and the images after color conversion to the input device, specify a portion at which a tone jump is caused from the sample image after color conversion, and acquire a set of an image before color conversion and an image after color conversion corresponding to the portion at which the tone jump is caused from the sets, to prepare the color conversion characteristics again using the acquired set of images.

Banding effects in an image or video are assessed. The image or each frame of a video is decomposed into luminance or color channels. Signal activity is computed at each spatial location in each channel. A significance of the signal activity at each spatial location is determined by comparing each element of the signal activity with a significance threshold. Banding pixels are detected as those pixels of the image or frame having significant signal activity at their respective spatial locations and having non-significant signal activity of at least a minimum threshold percentage of neighboring pixels to the respective spatial locations.

An image processing method for harmonizing images acquired by a first camera and a second camera connected to a vehicle and arranged in such a way as their fields of view cover a same road space at different times as the vehicle travels along a travel direction is disclosed. The method includes: acquiring by a selected camera, a first image at a first time; selecting a first region of interest bounding a road portion from the first image; sampling the first region of interest; acquiring by the other camera, a second image in such a way that the road portion is included in a second region of interest; sampling the second region of interest; and determining one or more correction parameters for harmonizing images acquired by the first and second cameras, based on a comparison between the image content of the first and second regions of interest.

A processor for an endoscope according to an aspect is characterized by including: a controller executing program code to perform: acquiring, by the controller, an endoscopic image captured using first system information; discriminating a part of a subject using a first learning model that outputs a discrimination result of discriminating the part of the subject in a case in which the acquired endoscopic image is input; acquiring, by the controller, a setting image associated with the discrimination result output by the first learning model; and outputting second system information using a second learning model that outputs the second system information in a case in which the acquired setting image and the part of the subject are input.

Techniques for facilitating image color correction are provided. In one example, a method includes receiving an image. The method further includes determining, based at least on the image, a first scaling value and a second scaling value. The method further includes applying the first scaling value to the image to obtain a scaled image. The method further includes applying a color correction matrix (CCM) to the scaled image to obtain a CCM image. The method further includes applying the second scaling value to the CCM image to obtain a color corrected image. Related devices and systems are also provided.

The image processing device includes an imaging unit that images a subject and a distance map acquisition unit that acquires information regarding a distance distribution of the subject as map data. The distance map acquisition unit acquires map data with an image deviation amount or a defocused amount related to a captured image or distance map data in conformity with a TOF scheme or an imaging plane phase difference detection scheme of using a pupil division type image sensor. An image processing unit generates data of a texture image in which a low-frequency component of a captured image is inhibited and combines the data of the texture image and the map data acquired by the distance map acquisition unit to generate image data in which a distance distribution of a subject is expressed.