Patent classifications
H04N9/77
Normalized high-dynamic range visualization
A tangible, non-transitory machine-readable medium includes machine-readable instructions that, when executed, cause processing circuitry to receive a signal indicative of high dynamic range content. The signal includes 1) a first portion that forms a first percentage of the signal and is associated with a first brightness range and 2) a second portion that forms a second percentage of the signal associated with a second brightness range. The instructions, when executed, are also configured to cause the processing circuitry to produce an adjusted signal to represent the signal such that a graphical representation of the adjusted signal includes an area corresponding to the first portion of the signal that is expanded relative to a graphical representation of the first portion of the signal. Furthermore, the instructions, when executed, are configured to cause the processing circuitry to cause display of a graphical representation of the adjusted signal.
SOLID-STATE IMAGING DEVICE AND ELECTRONIC EQUIPMENT
A solid-state imaging device capable of acquiring an RGB image, a CMY image, and luminance information through one imaging process. The solid-state imaging device includes a pixel array portion in which a plurality of pixel unit groups are arrayed, the pixel unit group including pixel units disposed in a 2×2 matrix, the pixel unit including pixels disposed in an 2×2 matrix, and the pixels including a photoelectric conversion unit and a color filter. Each of the pixel unit groups is configured such that an R filter and a C filter are included as the color filters in a first pixel unit among four pixel units constituting the pixel unit group, a G filter and an M filter are included as the color filters in each of second and third pixel units, and a B filter and a Y filter are included as the color filters in a fourth pixel unit.
SOLID-STATE IMAGING DEVICE AND ELECTRONIC EQUIPMENT
A solid-state imaging device capable of acquiring an RGB image, a CMY image, and luminance information through one imaging process. The solid-state imaging device includes a pixel array portion in which a plurality of pixel unit groups are arrayed, the pixel unit group including pixel units disposed in a 2×2 matrix, the pixel unit including pixels disposed in an 2×2 matrix, and the pixels including a photoelectric conversion unit and a color filter. Each of the pixel unit groups is configured such that an R filter and a C filter are included as the color filters in a first pixel unit among four pixel units constituting the pixel unit group, a G filter and an M filter are included as the color filters in each of second and third pixel units, and a B filter and a Y filter are included as the color filters in a fourth pixel unit.
Video processing method, electronic device, and non-transitory computer-readable medium
A video processing method is for an electronic device including a screen. The method includes obtaining a target video segment, the target video segment being one of a plurality of video segments pre-divided according to an obtained video file scheduled for playing; configuring a video enhancement parameter for the target video segment; performing a video enhancement process on the target video segment according to the video enhancement parameter; and displaying the enhanced target video segment on the screen. An electronic device and a non-transitory computer-readable medium are also provided.
Video processing method, electronic device, and non-transitory computer-readable medium
A video processing method is for an electronic device including a screen. The method includes obtaining a target video segment, the target video segment being one of a plurality of video segments pre-divided according to an obtained video file scheduled for playing; configuring a video enhancement parameter for the target video segment; performing a video enhancement process on the target video segment according to the video enhancement parameter; and displaying the enhanced target video segment on the screen. An electronic device and a non-transitory computer-readable medium are also provided.
Image processing apparatus, image processing method, and storage medium
There is provided with an image processing apparatus. An obtaining unit obtains a visible light image and an invisible light image of an imaging region. A first evaluation unit evaluates a brightness of the imaging region. A second evaluation unit evaluates noise in an object in the imaging region. A combining unit generates a combined image by combining the visible light image and the invisible light image. An output unit outputs either the combined image or the invisible light image in accordance with an evaluation result on the noise without outputting the visible light image in response to the brightness becoming lower than a first threshold during an operation of outputting the visible light image.
SIGNAL RESHAPING FOR HIGH DYNAMIC RANGE SIGNALS
In a method to improve backwards compatibility when decoding high-dynamic range images coded in a wide color gamut (WCG) space which may not be compatible with legacy color spaces, hue and/or saturation values of images in an image database are computed for both a legacy color space (say, YCbCr-gamma) and a preferred WCG color space (say, IPT-PQ). Based on a cost function, a reshaped color space is computed so that the distance between the hue values in the legacy color space and rotated hue values in the preferred color space is minimized HDR images are coded in the reshaped color space. Legacy devices can still decode standard dynamic range images assuming they are coded in the legacy color space, while updated devices can use color reshaping information to decode HDR images in the preferred color space at full dynamic range.
IMAGE COLOR CORRECTION SYSTEMS AND METHODS
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.
IMAGE SENSING DEVICE AND OPERATING METHOD THEREOF
An image sensing device includes an image sensor including at least one pixel including a plurality of color channels and an image processor for processing an input image, based on brightness intensity values of the plurality of color channels. The image processor includes: a transmission map generator for generating color channel transmission maps including transmission values that are obtained by respectively converting brightness intensity values of the plurality of color channels, and generating a target transmission map including target transmission values that are obtained by multiplying transmission values among the transmission values that correspond to color channels; a white pixel detector for determining target pixels that are included in a white area, based on the target transmission map; and a white balance adjuster for adjusting white balance, based on average brightness intensity values of respective color channels.
IMAGE SENSING DEVICE AND OPERATING METHOD THEREOF
An image sensing device includes an image sensor including at least one pixel including a plurality of color channels and an image processor for processing an input image, based on brightness intensity values of the plurality of color channels. The image processor includes: a transmission map generator for generating color channel transmission maps including transmission values that are obtained by respectively converting brightness intensity values of the plurality of color channels, and generating a target transmission map including target transmission values that are obtained by multiplying transmission values among the transmission values that correspond to color channels; a white pixel detector for determining target pixels that are included in a white area, based on the target transmission map; and a white balance adjuster for adjusting white balance, based on average brightness intensity values of respective color channels.