Provided are an image processing device, an image processing method, an image processing program, and an imaging device capable of generating two pieces of moving image data subjected to different pieces of image processing. A processor is configured to perform processing of calculating a first image processing parameter from first moving image data obtained by imaging, processing of generating second moving image data from the first moving image data based on the first image processing parameter, processing of storing the first moving image data in the memory, and processing of generating third moving image data from the first moving image data stored in the memory based on a second image processing parameter calculated from the first moving image data with a lapse of a time (T) after the first moving image data starts to be stored in the memory.

Provided are an image processing device, an image processing method, an image processing program, and an imaging device capable of generating two pieces of moving image data subjected to different pieces of image processing. A processor is configured to perform processing of calculating a first image processing parameter from first moving image data obtained by imaging, processing of generating second moving image data from the first moving image data based on the first image processing parameter, processing of storing the first moving image data in the memory, and processing of generating third moving image data from the first moving image data stored in the memory based on a second image processing parameter calculated from the first moving image data with a lapse of a time (T) after the first moving image data starts to be stored in the memory.

A method for local automatic white balance (AWB) of wide dynamic range (WDR) images is provided that includes collecting statistics for local AWB by an image signal processor (ISP) from a first WDR image generated by the ISP, receiving, by the ISP, a plurality of local gain lookup tables (LUTs), one for each color channel, wherein the plurality of local gain LUTs is generated using the statistics, and applying, by the ISP, a gain value to each pixel in a second WDR image generated by the ISP, wherein the gain value for the pixel is determined by the ISP using the local gain LUT for the color channel of the pixel.

A method for local automatic white balance (AWB) of wide dynamic range (WDR) images is provided that includes collecting statistics for local AWB by an image signal processor (ISP) from a first WDR image generated by the ISP, receiving, by the ISP, a plurality of local gain lookup tables (LUTs), one for each color channel, wherein the plurality of local gain LUTs is generated using the statistics, and applying, by the ISP, a gain value to each pixel in a second WDR image generated by the ISP, wherein the gain value for the pixel is determined by the ISP using the local gain LUT for the color channel of the pixel.

An image capture device includes a plurality of independently formed camera channels. Each of the plurality of independently formed camera channels includes a respective lens that receives incident light and transmits the incident light to a respective sensor without transmitting the incident light to respective sensor of other camera channels within the plurality of independently formed camera channels. Further, a processor that is communicatively coupled to the respective sensor of each of the plurality of independently formed camera channels. The processor is configured to control an integration time of the respective sensor of each of the plurality of independently formed camera channels individually with the receive respective images from the respective sensor of each of the plurality of independently formed camera channels, and form a combined image by combing each of the respective images.

An image capture device includes a plurality of independently formed camera channels. Each of the plurality of independently formed camera channels includes a respective lens that receives incident light and transmits the incident light to a respective sensor without transmitting the incident light to respective sensor of other camera channels within the plurality of independently formed camera channels. Further, a processor that is communicatively coupled to the respective sensor of each of the plurality of independently formed camera channels. The processor is configured to control an integration time of the respective sensor of each of the plurality of independently formed camera channels individually with the receive respective images from the respective sensor of each of the plurality of independently formed camera channels, and form a combined image by combing each of the respective images.

A method may include calculating a color gain by applying an automatic white balance (AWB) algorithm to a video frame of a video feed, calculating an illumination color by applying a machine learning model to the video frame, transforming the illumination color into an equivalent color gain, determining that a difference between the color gain and the equivalent color gain exceeds a difference threshold, reversing an effect of the illumination color on the video frame based on the threshold being exceeded to obtain a corrected video frame, and transmitting the corrected video frame to an endpoint.

One general aspect for motion-based video tonal stabilization uses a keyframe and motion estimation techniques to determine the level of spatial correspondence between input images and the keyframe. When the level of spatial correspondence is high, tonal stabilization is performed through regression and power law tonal transformation to minimize the color differences between images caused by automatic camera parameters without a priori knowledge of the camera model. Tonal error accumulation is reduced by using long-term tonal propagation.

In the combination of a wide dynamic range by combining a first image and a second image of different light exposure conditions, pixel values at which cumulative frequency proportions (B) become first and second reference values are generated as first and second index values (Sa, Lb) with regard to the first and second images, and first and second light exposure amounts (ES, EL) are controlled under first and second target conditions that the first and second index values (Sa, Lb) have predetermined relations with first and second target values (Sat, Lbt), respectively. It is possible to shorten a time taken until convergence of the light exposure amount in relation to a change of brightness of a subject.

An image processing apparatus and method for converting a frame rate are provided. According to the present disclosure, an electronic device includes a memory, a first black-and-white image sensor, a second image sensor, and a processor. The processor is configured to set different values as a first setting value for the first black-and-white image sensor and a second setting value for the second image sensor, if an illuminance value indicating an illuminance at an arbitrary time point does not satisfy a predetermined illuminance value, to acquire a black-and-white image of an object based on the first setting value using the first black-and-white image sensor, to acquire at least one color image of the object based on the second setting value using the second image sensor, to generate a color image by synthesizing the black-and-white image with a color determined based on at least part of color information of the at least one color image, and to store the generated color image as video data in the memory. The black-and-white image has a high resolution relative to a resolution of the at least one color image.