Abstract: A semiconductor device includes first nanostructures vertically separated from one another, a first gate structure wrapping around each of the first nanostructures, and second nanostructures vertically separated from one another. The semiconductor device also includes a second gate structure wrapping around the second nanostructures, a first drain/source structure coupled to a first end of the first nanostructures, a second drain/source structure coupled to both of a second end of the first nanostructures and a first end of the second nanostructures, and a third drain/source structure coupled to a second end of the second nanostructures. The first drain/source structure has a first doping type, the second and third drain/source structures have a second doping type, and the first doping type is opposite to the second doping type.

Abstract: An image brightness adjusting method, comprising: (a) computing or predicting a first input frame rate according to at least one first input image; (b) generating a first brightness according to a first brightness curve and the first input frame rate, wherein the first brightness curve corresponds to a first frame rate; (c) generating a second brightness according to a second brightness curve and the first input frame rate, wherein the second brightness curve corresponds to a second frame rate; (d) generating a first brightness compensating curve according to the first input frame rate and a brightness difference between the first brightness and the second brightness; and (e) setting a first compensating brightness of at least one second input image according to the first brightness compensating curve.

Abstract: The present application provides an image processing method and an image processing system. The image processing method includes: obtaining a first image matrix; generating a first classified image matrix, wherein the first classified image matrix Includes a plurality of parts corresponding to a plurality of classification; obtaining a plurality of weightings, for a first image process, corresponding to the plurality of parts of the first classified image matrix, and generating a first weighting matrix accordingly; and performing the first image process upon the first image matrix according to the first weighting matrix to generate a first processed image matrix.

Abstract: An image display system includes a display device, a second memory circuit, and an image processor circuit. The display device includes a panel and a first memory circuit, in which the first memory circuit is configured to store first predetermined data for controlling the panel. The second memory circuit is configured to store second predetermined data. The image processor circuit is configured to read first part data in the first predetermined data and second part data in the second predetermined data and compare the first part data with the second part data.

Abstract: The present invention provides an object position determination circuit including a receiving circuit and a detecting circuit. In operations of the object position determination circuit, the receiving circuit receives an image signal; and the detecting circuit detects a position of an object in an Nth frame of the image signal, determines a partial region within an (N+M)th frame of the image signal according to the position of the object in the Nth frame, and only detects the partial region within the (N+M)th frame to determine a position of the object in the (N+M)th frame, wherein N and M are positive integers.

Abstract: The present application provides an image processing method and an image processing system. The image processing method includes: obtaining a first image matrix; generating a first classified image matrix, wherein the first classified image matrix Includes a plurality of parts corresponding to a plurality of classification; obtaining a plurality of weightings, for a first image process, corresponding to the plurality of parts of the first classified image matrix, and generating a first weighting matrix accordingly; and performing the first image process upon the first image matrix according to the first weighting matrix to generate a first processed image matrix.

Abstract: A video processing system includes a main chip and a processing chip. The main chip receives first data. The processing chip is coupled to the main chip, and receives second data and to perform a video processing on at least one of the first data transmitted from the main chip and the second data, in order to drive a display panel. First video carried on the first data or second video on the second data has a first resolution, and the first resolution is at least 8K ultra high definition.

Abstract: The present invention provides an object position determination circuit including a receiving circuit and a detecting circuit. In operations of the object position determination circuit, the receiving circuit receives an image signal; and the detecting circuit detects a position of an object in an Nth frame of the image signal, determines a partial region within an (N+M)th frame of the image signal according to the position of the object in the Nth frame, and only detects the partial region within the (N+M)th frame to determine a position of the object in the (N+M)th frame, wherein N and M are positive integers.

Abstract: A video processing system includes a main chip and a processing chip. The main chip receives first data. The processing chip is coupled to the main chip, and receives second data and to perform a video processing on at least one of the first data transmitted from the main chip and the second data, in order to drive a display panel. First video carried on the first data or second video on the second data has a first resolution, and the first resolution is at least 8K ultra high definition.

Abstract: The present invention discloses an image processing device and an image processing method. The image processing method includes steps of: referring to multiple frames or an auxiliary data associated with the frames to determine whether the frames contain substantially the same frames; selecting the frames according to whether the frames contain substantially the same frames to generate multiple selected frames; and performing video processing on the selected frames. When the frames do not contain substantially the same frames, the selected frames are the same as the frames, and when the frames contain substantially the same frames, the selected frames are part of the frames.

Abstract: A video processing system includes a main chip and a processing chip. The main chip receives first data. The processing chip is coupled to the main chip, and receives second data and to perform a video processing on at least one of the first data transmitted from the main chip and the second data, in order to drive a display panel. First video carried on the first data or second video on the second data has a first resolution, and the first resolution is at least 8K ultra high definition.

Abstract: The present invention discloses an image processing device and an image processing method. The image processing method includes steps of: referring to multiple frames or an auxiliary data associated with the frames to determine whether the frames contain substantially the same frames; selecting the frames according to whether the frames contain substantially the same frames to generate multiple selected frames; and performing video processing on the selected frames. When the frames do not contain substantially the same frames, the selected frames are the same as the frames, and when the frames contain substantially the same frames, the selected frames are part of the frames.

Abstract: A video processing system includes a main chip and a processing chip. The main chip receives first data. The processing chip is coupled to the main chip, and receives second data and to perform a video processing on at least one of the first data transmitted from the main chip and the second data, in order to drive a display panel. First video carried on the first data or second video on the second data has a first resolution, and the first resolution is at least 8K ultra high definition.

Abstract: An image processing apparatus includes a high-frequency component translating unit, a high-frequency component extracting unit, a detail-gain generating unit and an image output unit. The high-frequency component translating unit extracts and translates first high-frequency components of an input image to generate a first image. The high-frequency component extracting unit extracts second high-frequency components to generate a second image. The detail-gain generating unit stores a conversion table and generates detail gains respectively associated with input pixels in the input image according to pixel values of the input pixels and the conversion table. The image output unit calculates a weighted superposition of the first image and the second image and generates a high frequency component of an output image according to the weighted superposition and the detail gains.

Abstract: A device and method using an overdrive function to do smoothing processing of video data including a frame sequence AABB or AABBB is disclosed in the present invention. The device includes a video information generator and an over drive circuit. The video information generator detects a plurality of continuous frames wherein the continuous frames include a current frame and a previous frame. When a second value of the current frame is different from a first value of the previous frame having the same position as that of the second value, the video information generator generates first video information; When the second value of the current frame is the same as the first value of the previous frame having the same position as that of the second value, the video information generator generates second video information.

Abstract: An image processing apparatus includes a gradient calculation unit, a direction determining unit, a directional interpolation unit, and a blender unit. The gradient calculation unit processes an input image to generate gradient magnitudes and gradient angles associated with input pixels of the input image. The direction determining unit generates interpolation angles and directional confidence values according to the gradient magnitudes and gradient angles. The directional interpolation unit performs directional interpolation on the input image according to the interpolation angles, so as to generate a first image with an image resolution different from the input image. The blender receives the first image and a second image generated from interpolating the input image, and blends the first image and the second image according to the directional confidence values to generate an output image.

Abstract: An image processing apparatus includes a high-frequency component translating unit, a high-frequency component extracting unit, a detail-gain generating unit and an image output unit. The high-frequency component translating unit extracts and translates first high-frequency components of an input image to generate a first image. The high-frequency component extracting unit extracts second high-frequency components to generate a second image. The detail-gain generating unit stores a conversion table and generates detail gains respectively associated with input pixels in the input image according to pixel values of the input pixels and the conversion table. The image output unit calculates a weighted superposition of the first image and the second image and generates a high frequency component of an output image according to the weighted superposition and the detail gains.

Abstract: An image processing apparatus includes a gradient calculation unit, a direction determining unit, a directional interpolation unit, and a blender unit. The gradient calculation unit processes an input image to generate gradient magnitudes and gradient angles associated with input pixels of the input image. The direction determining unit generates interpolation angles and directional confidence values according to the gradient magnitudes and gradient angles. The directional interpolation unit performs directional interpolation on the input image according to the interpolation angles, so as to generate a first image with an image resolution different from the input image. The blender receives the first image and a second image generated from interpolating the input image, and blends the first image and the second image according to the directional confidence values to generate an output image.

Abstract: An image depth generation device and method thereof is disclosed in the present invention. The device includes at least a processing circuit and at least a calculator. The processing circuit receives an input image and determines a visual distance of a pixel Pi according to a color of the pixel in the input image and at least a reference value to generate a depth offset of each pixel. The calculator is coupled to the processing circuit and uses the depth offset of each pixel and a predetermined depth to generate an output depth value of each pixel in the input image.

Abstract: A device and method using an overdrive function to do smoothing processing of video data including a frame sequence AABB or AABBB is disclosed in the present invention. The device includes a video information generator and an over drive circuit. The video information generator detects a plurality of continuous frames wherein the continuous frames include a current frame and a previous frame. When a second value of the current frame is different from a first value of the previous frame having the same position as that of the second value, the video information generator generates first video information; When the second value of the current frame is the same as the first value of the previous frame having the same position as that of the second value, the video information generator generates second video information.