H04N9/69

A METHOD AND APPARATUS FOR INVERSE-TONE MAPPING A PICTURE
20180005358 · 2018-01-04 ·

The present disclosure generally relates to a method and device for inverse-tone mapping a picture. The method comprising: —obtaining (20) a first component (Y) comprising: —obtaining a luminance component (L) from said color picture; —obtaining a resulting component by applying (20), a non-linear function on said luminance component (L) in order that the dynamic of the resulting component is increased compared to the dynamic of the luminance component (L)—obtaining (50) a modulation value (Ba) from the luminance of said color picture; —obtaining the first component (Y) by multiplying said resulting component by said modulation value (Ba); —obtaining two chrominance components (C1, C2) from said color picture; —obtaining (40) a first factor (r(L(i))) that depends on the value (L(i)) of a pixel (i) of said luminance component (L); —obtaining (30) at least one color component (Ec) from said first component (Y), said two chrominance components (C1, C2) and said first factor (r(L(i))); and—forming the inverse-tone mapped color picture by combining together said at least one color component (Ec).

A METHOD AND APPARATUS FOR INVERSE-TONE MAPPING A PICTURE
20180005358 · 2018-01-04 ·

The present disclosure generally relates to a method and device for inverse-tone mapping a picture. The method comprising: —obtaining (20) a first component (Y) comprising: —obtaining a luminance component (L) from said color picture; —obtaining a resulting component by applying (20), a non-linear function on said luminance component (L) in order that the dynamic of the resulting component is increased compared to the dynamic of the luminance component (L)—obtaining (50) a modulation value (Ba) from the luminance of said color picture; —obtaining the first component (Y) by multiplying said resulting component by said modulation value (Ba); —obtaining two chrominance components (C1, C2) from said color picture; —obtaining (40) a first factor (r(L(i))) that depends on the value (L(i)) of a pixel (i) of said luminance component (L); —obtaining (30) at least one color component (Ec) from said first component (Y), said two chrominance components (C1, C2) and said first factor (r(L(i))); and—forming the inverse-tone mapped color picture by combining together said at least one color component (Ec).

SIMPLE BUT VERSATILE DYNAMIC RANGE CODING

For obtaining an good yet easy to use luminance dynamic range conversion, we describe an image color processing apparatus (200) arranged to transform an input color (R,G,B) of a pixel of an input image (Im_in) having a first luminance dynamic range into an output color (Rs, Gs, Bs) of a pixel of an output image (Im_res) having a second luminance dynamic range, which first and second dynamic ranges differ in extent by at least a multiplicative factor 2, comprising: a maximum determining unit (101) arranged to calculate a maximum (M) of color components of the input color, the color components at least comprising a red, green and blue component; —a uniformization unit (201) arranged to apply a function (FP) to the maximum (M) as input, which function has a logarithmic shape and was predetermined to be of a fixed shape enabling to transform a linear input to a more perceptually uniform output variable (u); a function application unit (203) arranged to receive a functional shape of a function, which was specified previously by a human color grader, and apply the function to the uniform output variable (u), yielding a transformed uniform value (TU); a linearization unit (204) arranged to transform the transformed uniform value (TU) to a linear domain value (LU); a multiplication factor determination unit (205) arranged to determine a multiplication factor (a) being equal to the linear domain value (LU) divided by the maximum (M); and a multiplier (104) arranged to multiply at least three linear color components (R,G,B) by the multiplication factor (a), yielding the output color.

SIMPLE BUT VERSATILE DYNAMIC RANGE CODING

For obtaining an good yet easy to use luminance dynamic range conversion, we describe an image color processing apparatus (200) arranged to transform an input color (R,G,B) of a pixel of an input image (Im_in) having a first luminance dynamic range into an output color (Rs, Gs, Bs) of a pixel of an output image (Im_res) having a second luminance dynamic range, which first and second dynamic ranges differ in extent by at least a multiplicative factor 2, comprising: a maximum determining unit (101) arranged to calculate a maximum (M) of color components of the input color, the color components at least comprising a red, green and blue component; —a uniformization unit (201) arranged to apply a function (FP) to the maximum (M) as input, which function has a logarithmic shape and was predetermined to be of a fixed shape enabling to transform a linear input to a more perceptually uniform output variable (u); a function application unit (203) arranged to receive a functional shape of a function, which was specified previously by a human color grader, and apply the function to the uniform output variable (u), yielding a transformed uniform value (TU); a linearization unit (204) arranged to transform the transformed uniform value (TU) to a linear domain value (LU); a multiplication factor determination unit (205) arranged to determine a multiplication factor (a) being equal to the linear domain value (LU) divided by the maximum (M); and a multiplier (104) arranged to multiply at least three linear color components (R,G,B) by the multiplication factor (a), yielding the output color.

Content presenting method, user equipment and system

A content presenting method includes: starting a 3D application, in response to an instruction, a 3D application presenting a simulated object of an end user and a virtual screen for displaying live content in a virtual environment; receiving a content source address of the live content that is provided by another user equipment on an anchor to a content providing server, and that is currently broadcasted on the content providing server; obtaining audio data and video data of the live content from the content providing server, based on the content source address; rendering the audio data and the video data to obtain video content and audio content; playing the audio content in the 3D application; obtaining content of interaction between the anchor of the video content displayed using the virtual screen and the simulated object; and displaying the video content and the content of interaction on the virtual screen.

IMAGE SIGNAL PROCESSOR PROCESSING IMAGE DATA HAVING NON-BAYER PATTERN AND IMAGE PROCESSING DEVICE INCLUDING SAME

An image processing device includes; an image sensor including pixels arranged in a non-Bayer pattern and configured to generate non-Bayer pattern image data in response to electrical signals generated by the pixels, and an image signal processor configured to determine an indexing value indicating a color of a target pixel among the pixels and directly process the non-Bayer pattern image data in response to the indexing value.

IMAGE SIGNAL PROCESSOR PROCESSING IMAGE DATA HAVING NON-BAYER PATTERN AND IMAGE PROCESSING DEVICE INCLUDING SAME

An image processing device includes; an image sensor including pixels arranged in a non-Bayer pattern and configured to generate non-Bayer pattern image data in response to electrical signals generated by the pixels, and an image signal processor configured to determine an indexing value indicating a color of a target pixel among the pixels and directly process the non-Bayer pattern image data in response to the indexing value.

Video reproduction system, video reproduction device, and calibration method for video reproduction system
11562712 · 2023-01-24 · ·

A video reproduction device includes a calibration image generator configured to generate calibration images to be displayed by a display and a display device; a receiver configured to receive, from an image capturing device, a captured image in which the calibration image displayed by the display and the calibration image displayed by the display device are captured or information generated on the basis of the captured image; a corrected data calculator configured to calculate color-component-corrected data from a color component difference between the calibration image displayed by the display and the calibration image displayed by the display device; and a second video signal output configured to perform color correction on a video signal representing the same video as the video signal that is output to the display according to the corrected data obtained by the corrected data calculator and output a color-corrected video signal to the display device.

Display apparatus and control method thereof

Disclosed is a display apparatus. The display apparatus obtains first characteristic information, which is provided according to a plurality of sections of content and corresponds to an image characteristic of a section to be displayed among the plurality of seconds, from a signal received in the signal receiver, obtains first image-quality setting information for setting image quality of the section based on the obtained first characteristic information, obtains second characteristic information corresponding to an image characteristic of a frame included in the section from the frame, obtains second image-quality setting information for setting image quality of the frame based on the obtained first image-quality setting information and the obtained second characteristic information, and controls the display to display an image of the frame, the image quality of the frame being set based on the obtained second image-quality setting information.

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, PROGRAM, AND IMAGE PROJECTION METHOD
20230215130 · 2023-07-06 · ·

An image processing apparatus generates, from a mixed image of projection images projected from a plurality of projection devices, separated images for respective pieces of color information, on the basis of a color model. For the color model, the pieces of color information of the projection images changed according to spectral characteristics of the projection devices and an image pickup device for acquiring the captured image and an attenuation coefficient are used as parameters, and a color separation processing section generates the separated images for the respective pieces of color information on the basis of the color model, by using parameters that minimize the difference between the color information of the captured image and color information estimated by the color model. The image processing apparatus becomes able to accurately separate projection images from the captured image of the mixed image including a plurality of projection images.