31results about How to "Improve color distortion" patented technology

The present invention provides a method for reconstructing pixel color information, which first assigns a weight ratio according to the distance of the pixels around each red / blue pixel, and calculates the color signal difference in the horizontal and vertical directions, and then calculates the color signal difference according to the signal difference. The weight value is assigned in inverse proportion to the weight value, and the two green pixel values ​​adjacent to the pixel to be reconstructed are averaged along the horizontal and vertical directions respectively to obtain two average values, and then the two average values ​​are multiplied by the weight values ​​of their respective directions and then added together, The resulting weighted sum becomes the green element information in each red / blue pixel; then bilinear interpolation is used to complement the missing red and blue elements of other pixels, and then corrected by a median selector chromatic aberration. Therefore, the reconstructed color information of the present invention has the advantage of high accuracy, and can achieve the effect of high resolution and uniform color.

The invention discloses an image sharpening method for TFT-LCD color display. Taking adjacent five pixel points in a row as a processing unit, the image sharpening method can reduce the storage capacity and the calculation amount, is particularly suitable for color display of a small-size TFT-LCD and easy to be realized in a singlechip-integrated TFT-LCD drive control chip. The visual characteristic of human eyes is considered, sharpening factors are calculated according to the gray value of pixel points, and the image sharpening noise is reduced. By adopting zoom factors and different sharpening strengths aiming at five image areas with the gray changing from the flatness to the sharpness, the invention better solves the problem of the gray value overflow; and by using an energy dispersion filter, the invention obviously improves the color distortion phenomenon of sharpened images.

Provided is a projection system (100), comprising a light source apparatus (110), a light modulation module (140), a projection lens (170) and a light recycling module (160). The light source apparatus (110) comprises a first light source (111) and a second light source (112); the first light source (111) is used for emitting first light; the first light is used for modulating an image in a first colour gamut range; the second light source (112) is used for emitting supplementary light for widening a colour gamut of at least one kind of light in excitation light emitted by the first light source (111); and the supplementary light is used for modulating, together with the first light, an image in a second colour gamut range. The light modulation module (140) is used for carrying out image modulation on the light emitted by the light source apparatus (110) according to image data, so as to generate non-projection light, and projection light required by an image to be displayed. The projection lens (170) is used for receiving the projection light, so as to project the image. The light recycling module (160) is used for recycling the non-projection light to the light modulation module (140) to be reused. The projection system realizes a wider colour gamut range, a better image effect and a higher light use ratio.

The invention discloses a sparse tensor neighborhood embedding-based remote sensing image fusion method. According to the technical scheme of the invention, the method comprises the following steps of 1), inputting a low-resolution and multi-spectral image M and a high-resolution and full-color image P; 2) dividing the low-resolution and multi-spectral image M into multi-spectral image tensor blocks M1; 3) constructing a high-resolution and multi-mode dictionary HD and a low-resolution and multi-mode dictionary LD based on the high-resolution and full-color image P and the multi-spectral image tensor blocks M1; 4) optimizing the atoms of the high-resolution and multi-mode dictionary HD and the atoms of the low-resolution and multi-mode dictionary LD; 5) solving the tensor sparse coefficient A of the multi-spectral image tensor blocks M1 in the low-resolution and multi-mode dictionary LD; 6) multiplying the tensor sparse coefficient A by the high-resolution and multi-mode dictionary HD, and obtaining a high-resolution and multi-spectral image after the airspace residual compensation. In this way, the information within multi-spectral bands is utilized, and the color distortion of a fused image is reduced. Therefore, the method can be used for remote sensing and target identification.

An image defogging method based on a generative confrontation network, the method comprising: 1) obtaining sample data; 2) the real foggy image in the sample data is used as input data of a first generator, and the first generator generates a fog-free image once ; The real fog-free image in the sample data is used as the input data of the second generator, and the second generator generates a foggy image; the first discriminator feeds back the error between the primary foggy image and the real foggy image to the second generator The generator and the second discriminator feed back the error between the primary fog-free image and the real fog-free image to the first generator, the second generator and the first generator reduce the error and improve the authenticity of the generated image; the generator Perform repeated confrontation training with the discriminator to obtain the optimal dehazing network model; 3) image dehazing. The present invention adopts a generative confrontation network structure and a loss function, and network training does not require foggy-foggy matching images of the same scene, while ensuring that the color of the image before and after defogging is not distorted.

A projection system includes a first light source, a second light source, a color gamut judgment module, a light source controller and a light modulation device. The first light source is used to emit primary color light for modulating images, and the primary color light can be used to modulate images within the first color gamut; the second light source is used to emit primary color light that broadens the first light source. Supplementary light for the color gamut of at least one light in the light; the color gamut judging module is used to receive image data and judge the color gamut range of the image to be displayed according to the image data, and output a control signal according to the color gamut range ; used to receive the control signal, and control the opening and closing of the first light source and the second light source according to the control signal, so that the light emitted by the first light source and the second light source can modulate the color gamut range Satisfying the color gamut range of the image to be displayed; the light modulation device is used for performing image modulation on the primary color light and the supplementary light to generate projection light required by the image to be displayed.

The invention provides a method of converting RGB to RGBW. The method comprises steps: the gray scale value of an RGB signal of each pixel point in the current frame of image is acquired; the gray scale value of the RGB signal of each pixel point is converted to a brightness value, and the brightness value is subjected to normalization processing; the gain value of each pixel point after normalization processing is calculated, the gain values of pixel points meeting a preset requirement in the whole frame of image are counted, and a cumulative distribution curve for the gain values of the pixel points in the whole frame of image is obtained; one longitudinal coordinate value of the cumulative distribution curve set by a user is received, and a horizontal ordinate value corresponding to the longitudinal coordinate value serves as a frame gain value; according to the frame gain value and a preset rule, an output value of RGBW is acquired and outputted; and according to the size of the frame gain value, the brightness of backlight is adjusted. While the brightness of the image is enhanced, the color distortion problem appearing in an RGBW display mode is improved, and the saturation of the image is improved.

The application provides an array substrate and a liquid crystal display device. The array substrate includes a substrate and a first light-transmitting layer. The substrate has a first surface and a second surface opposite to the first surface. The first surface is located on the light incident side of the array substrate. At least one first light-transmitting layer is disposed on the first surface of the substrate, the refractive index of the at least one first light-transmitting layer is greater than that of air, and the refractive index of the at least one first light-transmitting layer and the refractive index of the substrate are along the first The light-transmitting layer increases in the direction of the substrate, and the thickness of each first light-transmitting layer satisfies a specific functional relationship with each color light in at least one color light, and the at least one color light is selected from one of blue light, red light and green light. One or two kinds, each color light corresponds to at least one first light-transmitting layer. The deviation of the chromaticity coordinates corresponding to the light emitted by the liquid crystal display device is improved, and the transmittance of the light emitted by the liquid crystal display device is increased.

The invention provides a method and a device for converting three-color data to four-color data. The conversion method comprises the steps of: determining a normalized stimulus value signal of a whitesub-pixel according to a minimum value of a first stimulus value signal after gain processing, a second stimulus value signal after gain processing and a third stimulus value signal after gain processing; and regarding a difference value between the first stimulus value signal after gain processing and a red stimulus value signal in a tristimulus value signal of the white sub-pixel as a normalized stimulus value signal of a red sub-pixel, regarding a difference value between the second stimulus value signal after gain processing and a green stimulus value signal in the tristimulus value signal of the white sub-pixel as a normalized stimulus value signal of a green sub-pixel, and regarding a difference value between the third stimulus value signal after gain processing and a blue stimulusvalue signal in the tristimulus value signal of the white sub-pixel as a normalized stimulus value signal of a green sub-pixel, so as to improve the penetration rate of light and screen brightness while solving the problems of large viewing angle color cast and color distortion.