Flare compensation includes obtaining a dark corner intensity differences profile between a first and a second image based on a relative illumination of an area outside a first image circle of the first image and a second image circle of the second image. The dark corner intensity differences profile is obtained for a luminance (Y) component. A flare profile is obtained using an intensity differences profile and the dark corner intensity differences profile. The intensity differences profile is obtained for the Y component along a stitch line between the first image and the second image. The flare profile of the Y component is converted to an RGB flare profile. The first image is modified based on the RGB flare profile to obtain a processed first image.

A purple-fringe correction method includes determining: (1) a first distance between a first pixel in a purple-fringe area in an image and an overexposed area in the image and (2) a second distance between the first pixel and a non-overexposed, non-purple-fringe area in the image. The first pixel in the purple-fringe area is corrected based on the first distance and the second distance.

The method for processing a matrix of pixels each containing an original red, green, blue, or infrared component, comprises at least one interpolation of an interpolated component different from the original component of a pixel of interest from the components of a group of pixels neighboring the pixel of interest. The interpolation comprises: a calculation of the sum of the components of reference pixels weighted by a respectively assigned weight, the reference pixels being pixels of the group having the same original component as the interpolated component, an evaluation of the spatial uniformity of an environment, within the group of each reference pixel, a calculation of the weights assigned to the reference pixels at values which are normalized and proportional to the respective spatial uniformity.

Provided is an image acquisition apparatus including an image sensor configured to obtain an image, and a processor configured to obtain a basis based on a surrounding environment of the image acquisition apparatus, estimate illumination information based on the obtained basis, and perform color conversion on the image based on the estimated illumination information.

Embodiments are directed towards hue-based video enhancement. An example method includes processing low dynamic range (LDR) video content to generate an inverse tone map (ITM) for transforming the LDR video content to high dynamic range (HDR) video content, converting the LDR video content into Hue, Saturation and Lightness (HSY) color space to produce H-channel data, S-channel data, and Y-channel data, de-noising the H-channel data, remapping the de-noised H-channel data, the S-channel data, and the Y-channel data based on the ITM; and rendering the HDR video content based thereon.

This application discloses a photographing apparatus and method, and relates to the field of image processing. When a high-quality image in a low illumination environment is obtained, costs are reduced, a size is reduced, and product compatibility is improved. The method includes: controlling a light filtering unit to: transparently transmit visible light in incident light and block infrared light in the incident light in a first image exposure interval, transparently transmit the infrared light in the incident light in a first time period of a second image exposure interval, and block the incident light in a second time period of the second image exposure interval; performing, by using an image sensor to obtain a first image, and performing photoelectric imaging on a light ray to obtain a second image; and synthesizing the first image and the second image, to generate a first target image.

When a producer processing unit, such as a video decoder, of a media processing system is producing a data output for use by a consumer processing unit, such as a display processor, the producer processing unit also generates metadata for the data output that it is producing and provides that metadata for use by the consumer processing unit. The consumer processing unit then uses the metadata provided by the producer processing unit when processing the data output to which the metadata relates.

Methods and apparatuses are disclosed for modifying images of skin so as to reduce or enhance the appearance of component pigments, such as melanin and hemoglobin. A diffuse reflectance image of skin, such as a cross-polarized contact dermoscopy image, which conveys information regarding subsurface features of the skin, is processed so as to extract pigment distribution information, which is then used to correct the diffuse reflectance image, such as by reducing the appearance of melanin to allow better visualization of hemoglobin-related structures, such as vasculature. Alternatively, the diffuse reflectance image can be corrected so as to reduce the appearance of hemoglobin to allow better visualization of melanin-related structures.

This application provides a control display method and an electronic device. The method includes: determining a display position of a control on a background picture; and then determining a display scene of the background picture at the display position of the control, where the display scene of the background picture at the display position of the control is determined based on display parameters of the background picture at the display position of the control; determining display parameters of the control based on the display scene of the background picture at the display position of the control, so that a contrast between the background picture displayed at the display position of the control and the control displayed based on the display parameters meets a first preset condition; and displaying the control based on the determined display parameters of the control. This application is applicable to control display of the electronic device.

A method includes obtaining a blended red-green-blue (RGB) image frame of a scene. The method also includes performing, using at least one processing device of an electronic device, an interband denoising operation to remove at least one of noise and one or more artifacts from the blended RGB image frame in order to produce a denoised RGB image frame. Performing the interband denoising operation includes performing filtering of red, green, and blue color channels of the blended RGB image frame to remove at least one of the noise and the one or more artifacts from the blended RGB image frame. The filtering of the red and blue color channels of the blended RGB image frame is based on image data of at least one of the green color channel and a white color channel of the blended RGB image frame.