An image sensor including an image signal processor and an operating method of the image sensor are provided. An image sensor may include a pixel array configured to convert a received optical signal into electrical signals, a readout circuit configured to analog-digital convert the electrical signals to generate image data, and an image signal processor configured to perform one-dimensional filtering in each of a first direction and a second direction on the image data to remove noise of the image data, the second direction being different than the first direction.

Dual cameras that simultaneously capture RGB and IR images of a scene can be used to remove glare from the RGB image, transformed to a YUV image, by substituting a glare region in the luminance component of the YUV image with the pixel values in a corresponding region of the IR image. Further, color information in the glare region may be adjusted by averaging over or extrapolating from the color information in the surrounding region.

A pixel value calibration method includes: obtaining input image data generated by pixels, the input image data including a first group of pixel values in a first color plane and a second group of pixel values in a second color plane, generated by a first portion and a second portion of the pixels respectively; determining a difference function associated with filter response values and target values, the filter response values being generated by utilizing characteristic filter coefficients to filter first and second estimated pixel values of estimated pixel data in the first and second color planes, respectively; determining a set of calibration filter coefficients by calculating a solution of the estimated pixel data, the solution resulting in a minimum value of the difference function; and filtering the input image data, by a filter circuit using the set of calibration filter coefficients, to calibrate the first group of pixel values.

A method of regional color processing based on video content and a system using the same are provided, comprising: step 1: dividing a data area; step 2: denoising pixel video data; step 3: generating a representative value of small block; step 4: detecting a video scene type; step 5: smoothing of the representative value of the small block; step 6: dark block fading processing; step 7: HDR custom compensating/definition restoring; and step 8: generating a representative value of the large block. It divides the video source data into small blocks or large blocks according to the rendering granularity of the ambient light, and implements algorithms such as noise reduction, smooth processing and adaptive compensation according to the video format and content, and the lighting rendering can follow the video signal in real time, which can effectively reduce the sudden change of rendering light and bring users more soothing experience.

An object is to facilitate tone adjustment. For this object, an image processing system according to the present technology includes: a setting value determination unit that determines a setting value of a tone curve characteristic to be applied to a linear image signal having a linear characteristic according to an operation of a user; a tone adjustment unit that applies the tone curve characteristic based on the determined setting value to the linear image signal; and an image signal output unit that outputs, as an output image signal, an image signal after tone curve application obtained by application of the tone curve characteristic to the linear image signal. This configuration facilitates tone adjustment.

If a scene change is not detected by a scene change detector, in each frame until a count value of a frame counter reaches a predetermined value, a tone curve pattern updater sets a representative point group of a tone curve pattern selected in the most recent frame in which a count value is reset to an initial value as a representative point group for updating. By assuming that k is a number less than 1, the tone curve pattern updater generates a first multiplication value obtained by multiplying the set representative point group for updating by a coefficient (1−k) and a second multiplication value obtained by multiplying the representative point group output by the tone curve pattern updater in an immediately preceding frame of each frame by a coefficient k, and outputs a combined representative point group obtained by adding the first multiplication value and the second multiplication value.

Devices, systems, and methods for enhancing color consistency in images are disclosed. A method may include activating, by a device, a camera to capture first image data; while the camera is capturing the first image data, activating of a first light source; receiving the first image data, the first image data having pixels having first color values; identifying first light generated by the first light source while the camera is capturing the first image data; identifying, based on the first image data, second light generated by a second light source; generating, based on the first light, the second light, and a distance between the camera and the vehicle light, second color values for the pixels of the first image data; generating second image data based on the second color values; and presenting the second image data.

An image sensor includes multiple photoelectric conversion elements and multiple individual color filters to generate multiple colors. The multiple individual color filters are arranged corresponding to the multiple photoelectric conversion elements, respectively. At least one of the multiple individual color filters includes a primary color type individual color filter. The primary color type individual color filter allows light of a corresponding primary color to permeate. The primary color type individual color filter has a first given transmittance for one of other primary colors other than the corresponding primary color, at which one of the other primary colors permeates the primary color type individual color filter. The first given transmittance is higher than a lower limit of a transmittance improving a sensitivity of the image sensor.

A submersible vehicle comprising: an image sensor; a first illuminator; at least one hardware processor operatively coupled with said image sensor and first illuminator, and the at least one hardware processor being configured to: acquire a first image of a scene inside a medium, when there is no object along the line-of-sight (LOS), under illumination from a first location or orientation, acquire a second image of the scene inside the medium, when there is no object along the LOS, under illumination from a second, different location or orientation, and compute attenuation coefficients, one per color channel, based on backscatter in the first and second images.

Video presence systems are described that detect an area of interest (e.g., facial region) within captured image data and analyze the area of interest using known color information of the content currently being presented by a display, along with measured ambient light color information from a color sensor, to determine whether the area of interest (e.g., face) is currently illuminated by the display or whether the AOI is not affected by the display and instead only illuminated by the ambient light. Upon determining that the display casts color shade on the AOI, the video presence system pre-processes the image data of the detected area of interest to correct the color back to skin color under ambient light prior to performing general white balance correction.