H04N9/68

IMAGE PROCESSING APPARATUS AND METHOD, AND PROGRAM AND RECORDING MEDIUM
20170318190 · 2017-11-02 · ·

Based on a histogram of saturation of an input video, a saturation conversion function is determined, and, referring to the determined saturation conversion function, the saturation of each pixel of the input video is converted. Alternatively, a saturation conversion coefficient determination function is generated from the histogram, a saturation conversion coefficient is determined from the saturation conversion coefficient determination function and the saturation, and color differences are multiplied by the determined saturation conversion coefficient. Regardless of what saturation distribution the input video has, the saturation can be properly enhanced, and at the same time a high gradation expression can be obtained.

Display device, mobile device, system including the same, and image quality matching method thereof

A display device, a mobile device, a system including the same, and an image quality matching method thereof are provided. According to the method, the mobile device acquires a first acquired image that is an image of a first displayed image being displayed on the first display device and a second acquired image that is an image of a second displayed image being displayed on the second display device, compares the first acquired image and the second acquired image with each other, determines an image quality correction value for the first display device so that an image quality of the first displayed image is made substantially equal to an image quality of the second displayed image, and transmits the determined image quality correction value to the first display device or the second display device.

Display device, mobile device, system including the same, and image quality matching method thereof

A display device, a mobile device, a system including the same, and an image quality matching method thereof are provided. According to the method, the mobile device acquires a first acquired image that is an image of a first displayed image being displayed on the first display device and a second acquired image that is an image of a second displayed image being displayed on the second display device, compares the first acquired image and the second acquired image with each other, determines an image quality correction value for the first display device so that an image quality of the first displayed image is made substantially equal to an image quality of the second displayed image, and transmits the determined image quality correction value to the first display device or the second display device.

Method for correcting color using RGB data
09794449 · 2017-10-17 · ·

A method for a color correction using RGB data without a color space conversion for the color correction includes the steps of: extracting a start hue value of color coordinates from RGB input data; extracting an end hue value, which is finally modified by a color correction matrix user, from the start hue value according to each hue control value of a red color, a green color, a blue color, a yellow color, a cyan color and a magenta color (RGBYCM); converting input values R G and B, according to the end hue value, using a conversion formula for the corresponding input hue value among R, G and B conversion formulas; extracting a final saturation value from the end hue value according to an RGBYCM saturation control value; and calculating values of R, G and B according to modified start hue value, using an RGB color saturation value conversion formula.

Method for correcting color using RGB data
09794449 · 2017-10-17 · ·

A method for a color correction using RGB data without a color space conversion for the color correction includes the steps of: extracting a start hue value of color coordinates from RGB input data; extracting an end hue value, which is finally modified by a color correction matrix user, from the start hue value according to each hue control value of a red color, a green color, a blue color, a yellow color, a cyan color and a magenta color (RGBYCM); converting input values R G and B, according to the end hue value, using a conversion formula for the corresponding input hue value among R, G and B conversion formulas; extracting a final saturation value from the end hue value according to an RGBYCM saturation control value; and calculating values of R, G and B according to modified start hue value, using an RGB color saturation value conversion formula.

Intelligent sensor switch during recording
11671716 · 2023-06-06 · ·

An image capture device may process first frames from a first image sensor obtained at a first frame rate and store the processed first frames in a memory. The image capture device may obtain first camera control statistics based at least on partially processed second frames from a second image sensor obtained at a second frame rate. The image capture device may switch a capture mode to obtain third frames at the second frame rate from the first image sensor and to obtain fourth frames at the first frame rate from the second image sensor.

Intelligent sensor switch during recording
11671716 · 2023-06-06 · ·

An image capture device may process first frames from a first image sensor obtained at a first frame rate and store the processed first frames in a memory. The image capture device may obtain first camera control statistics based at least on partially processed second frames from a second image sensor obtained at a second frame rate. The image capture device may switch a capture mode to obtain third frames at the second frame rate from the first image sensor and to obtain fourth frames at the first frame rate from the second image sensor.

OPTIMIZING HIGH DYNAMIC RANGE IMAGES FOR PARTICULAR DISPLAYS

Color transformation apparatus (201) for calculating resultant colors (R2, G2, B2) of pixels of an output image for a display with a display peak brightness (PB_D) starting from input colors (R,G,B) of pixels of an input image first image peak brightness (PB_H) which is different from the display peak brightness, said color transformation apparatus comprising: a color transformation determination unit (102) arranged to determine a color transformation (g) from color processing specification data (MET) comprising at least one tone mapping function (CC) for at least a range of pixel luminances received via a metadata input (116), which color transformation specifies the calculation of at least some pixel colors of an image having corresponding to its maximum luma code a second image peak brightness (PB_L), which is different from the display peak brightness (PB_D) and the first image peak brightness (PB_H), and whereby the division of the first image peak brightness by the second image peak brightness is either larger than 2 or smaller than ½; a scaling factor determination unit (200) arranged to determine a resultant common multiplicative factor (gt), said scaling factor determination unit comprising:—a capability metric determination unit arranged to determine a metric for locating positions of display peak brightnesses between the first image peak brightness (PB_H), and the second image peak brightness (PB_L) and outside that range; and—a resultant multiplier determination unit arranged to determine from the display peak brightness (PB_D), the metric, and the color transformation the resultant common multiplicative factor (gt), and wherein the color transformation apparatus (201) further comprises a scaling multiplier (114) arranged to multiply a linear RGB color representation of the input colors with the resultant common multiplicative factor (gt).

MACROPIXEL PROCESSING SYSTEM, METHOD AND ARTICLE
20170287141 · 2017-10-05 ·

Digital image processing circuitry converts images in a color filter array (CFA) color space to images in a luminance-chrominance (YUV) 4:2:0 color space, and the images in the YUV 4:2:0 color space are processed by the digital image processing circuitry in the YUV 4:2:0 color space, for example, to apply noise filtering, etc. The converting includes simultaneously receiving pixel data defining a macro-pixel in the CFA color space. The processing in the YUV color space is applied on a macro-pixel level to the macro-pixel of the image in the YUV color space.

Panoramic video viewer

Various examples are directed to displaying a panoramic video at an interface comprising a focus region and a thumbnail region. The focus region may display an active field-of-view of the panoramic video, where the active field-of-view is a portion selected from the full field-of-view of the panoramic video. The thumbnail region may display a thumbnail version of the panoramic video comprising a thumbnail field-of-view that is equivalent to the full field-of-view. A distribution of color saturation levels of the thumbnail version may indicates a distribution of fields-of-view selectable from the full field-of-view.