Patent classifications
H04N9/67
Side-illuminated excitation optics apparatus and systems
One or more excitation energy sources emit light in an excitation spectrum and direct the emitted light as an excitation beam to the emitting surface of a wavelength conversion element directly or via reflection. Distinct areas of the emitting surface are coated with one or more distinct fluorescent phosphors. The phosphor-coated areas receive the excitation beam and generate a sequence of fluoresced light beams at a light output, each fluoresced beam of a narrow spectrum determined by the type of phosphor and the excitation spectrum. The fluoresced beams travel parallel to an emitting axis at a non-zero angle to axes associated with the excitation beams.
METHOD FOR COLOR MAPPING A VIDEO SIGNAL BASED ON COLOR MAPPING DATA AND METHOD OF ENCODING A VIDEO SIGNAL AND COLOR MAPPING DATA AND CORRESPONDING DEVICES
A method of color mapping a video signal represented in a first color volume from color mapping data to be applied on a video signal represented in a second color volume is disclosed. The method comprises:—color mapping (14) said video signal represented in a first color volume from said first color volume into said second color volume in the case where said first and second color volumes are different; and—color mapping (16) said color mapped video signal based on said color mapping data.
METHOD FOR COLOR MAPPING A VIDEO SIGNAL BASED ON COLOR MAPPING DATA AND METHOD OF ENCODING A VIDEO SIGNAL AND COLOR MAPPING DATA AND CORRESPONDING DEVICES
A method of color mapping a video signal represented in a first color volume from color mapping data to be applied on a video signal represented in a second color volume is disclosed. The method comprises:—color mapping (14) said video signal represented in a first color volume from said first color volume into said second color volume in the case where said first and second color volumes are different; and—color mapping (16) said color mapped video signal based on said color mapping data.
DISPLAY DEVICES CAPABLE OF ADJUSTING THE DISPLAY COLOR GAMUT AND METHODS OF ADJUSTING THE COLOR GAMUT THEREOF
Display devices capable of adjusting the color gamut and methods of adjusting the color gamut thereof are disclosed. A method includes: obtaining a mapping table that comprises mapping relations between a plurality of application scenarios and a plurality of color gamut modes; obtain a current application scenario and the corresponding color gamut mode of the current application scenario from the mapping table, and adjusting the display screen to the corresponding color gamut mode of the current application scenario. Thus, the present disclosure can base on different application scenarios to automatically apply the corresponding color gamut modes, ensuring the user a plurality of color experiences and improving the experience effect of the users.
DISPLAY DEVICES CAPABLE OF ADJUSTING THE DISPLAY COLOR GAMUT AND METHODS OF ADJUSTING THE COLOR GAMUT THEREOF
Display devices capable of adjusting the color gamut and methods of adjusting the color gamut thereof are disclosed. A method includes: obtaining a mapping table that comprises mapping relations between a plurality of application scenarios and a plurality of color gamut modes; obtain a current application scenario and the corresponding color gamut mode of the current application scenario from the mapping table, and adjusting the display screen to the corresponding color gamut mode of the current application scenario. Thus, the present disclosure can base on different application scenarios to automatically apply the corresponding color gamut modes, ensuring the user a plurality of color experiences and improving the experience effect of the users.
ON-CAMERA IMAGE PROCESSING BASED ON IMAGE ACTIVITY DATA
A camera system processes images based on image activity data. The camera system includes an image sensor, an image pipeline, an encoder and a memory. The image sensor converts light incident upon the image sensor into raw image data. The image pipeline converts raw image data into color-space image data and calculates activity variances of the color-space image data. The encoder can determine one or more of quantization levels, block type (Intra vs Inter), determining transform size and type, and determining GOP structure or reference frame spacing for the color-space image data based on the activity variances. The memory stores the color-space image data and the activity variances.
Method for correcting color using RGB data
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
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.
Image processor, image display device, and image processing method for correcting input image
According to one embodiment, an image processor includes a processor. The processor implements acquiring a first image and first information. The first information indicates a condition of a first projection surface. The first information includes a first color gamut of the first projection surface. The processor implements deriving a second color gamut according to the first color gamut derived by using the first information. The processor implements converting a chromaticity of the first image to obtain a second image. Each pixel of the second image has a color included in the second color gamut. The processor implements generating a first converted image by correcting the second image based on the first color gamut.
Image processor, image display device, and image processing method for correcting input image
According to one embodiment, an image processor includes a processor. The processor implements acquiring a first image and first information. The first information indicates a condition of a first projection surface. The first information includes a first color gamut of the first projection surface. The processor implements deriving a second color gamut according to the first color gamut derived by using the first information. The processor implements converting a chromaticity of the first image to obtain a second image. Each pixel of the second image has a color included in the second color gamut. The processor implements generating a first converted image by correcting the second image based on the first color gamut.