Abstract: An image processing apparatus comprises an image decoding unit and a static noise reducing unit. The image decoding unit decodes a data stream and generates a plurality of image comprising a current image. The static noise reducing unit, coupled to the image decoding unit, generates a first adjustment value of a target pixel of the current image according to an original luminance value of the target pixel and at least one original luminance value of a neighboring pixel associated with the target pixel. The static noise reducing unit also determines a static adjustment luminance value of the target pixel according to the original luminance value, the first adjustment value, and a first weight. The first weight is associated with the chrominance value of the target pixel.

Abstract: A device for removing mosquito noise and associated method is provided to adaptively determine a proper strength for removing the mosquito noise according to image complexities, thereby removing the noise while maintaining the quality of image details. The device includes a buffer, a lookup table, and a strength determining unit. The buffer stores a pixel matrix having a target pixel. The lookup table stores a plurality of coefficients. The strength determining unit, coupled to the buffer and the lookup table, detects the image complexities of the pixel matrix and looks up the lookup table according to the image complexities of the pixel matrix, so as to output a strength coefficient for removing the mosquito noise.

Abstract: A filter for a video stream is provided. The filter generates a filtered picture according to a current picture and its previous picture. A motion difference calculator accumulates differences between current picture values and previous picture values within a neighborhood of each pixel to provide a corresponding motion difference. A histogram counter performs histogram counting according to motion differences of the pixels. A filter value calculator provides a filter value for each pixel according to operations of the motion difference calculator and the histogram counter. A blender blends the current picture value and the previous picture value of each pixel according to weightings correlated to the filter value, and provides a filtered picture value for each pixel of the filtered picture.

Abstract: Device and method for color adjustment for adjusting white color of an image including a weight generating unit, a color shift value generating unit, and an adjustment unit. The weight generating unit receives a first color value of the image and generates a weight according to the first color value. The color shift value generating unit receives the first color value and the weight and generates a color shift value according to the first color value and the weight. The adjustment unit receives the first color value and the color shift value and generates a second color value according to the first color value and the color shift value.

Abstract: A deblocking apparatus is provided. The deblocking apparatus includes a filter, a blocking detection module and a blending unit. The filter receives a target pixel of a pixel matrix to generate a filtered target pixel. The blocking detection module generates a deblocking intensity factor according to the pixel matrix. The blending unit receives the target pixel and the filtered target pixel, and dynamically blends the target pixel and the filtered target pixel to output an output pixel according to the deblocking intensity factor.

Abstract: An image processing apparatus includes an image decoding unit and an image adjusting unit. The image decoding unit decodes a data stream to generate a first image comprising a first pixel. The image adjusting unit comprises a pixel edge determining module and a chrominance adjusting module. The pixel edge determining module determines an edge luminance parameter according to an initial luminance value of the first pixel and a plurality of initial luminance values of pixels neighboring the first pixel, and determines an edge chrominance parameter according to an initial chrominance value of the first pixel and a plurality of initial chrominance values of pixels neighboring the first pixel. The first chrominance adjusting module determines a first weight according to the edge luminance parameter and the edge chrominance parameter, and generates a first adjusted chrominance value by weighted calculating a first predetermined chrominance value and the initial chrominance value of the first pixel.

Abstract: The present invention discloses a method and a device for image sharpness adjustment. The device comprises a color analyzer, a color sharpness setting unit, a computing circuit, and a luminance adjusting unit. The color analyzer is for analyzing an input color signal to generate a plurality of color flags. The color sharpness setting unit is for generating a plurality of first sharpness gains according to the plurality of the color flags. The computing circuit is for generating a second sharpness gain according to the plurality of the first sharpness gains and the input color signal. The luminance adjusting unit is for adjusting a luminance signal according to the second sharpness gain.

Abstract: A device and a method for adjusting video luminance of at least a color in a display wherein the color is appointed by the user. The device comprises: a color flag generating module for transforming a plurality of color signals into a plurality of color flags; a luminance adjustment value calculating module for calculating a luminance adjustment output value according to a plurality of luminance adjustment input values of different colors and the plurality of color flags; and a luminance output module for applying the luminance adjustment output value to a luminance input signal so as to generate a luminance output signal. Using the device and the method according to the present invention, the user can respectively adjust the luminance of different colors.

Abstract: An image acquiring device with positioning assisting functionality is for acquiring an image of an object to be captured, and includes a positioning assisting unit and an image acquiring unit. The positioning assisting unit emits light toward a planar surface. The light forms at least one positioning mark on the planar surface. The image acquiring unit is for acquiring an image of an image acquiring region associated with the positioning mark.

Abstract: The present invention discloses an adaptively de-blocking circuit and associated method. A mean is derived according to the neighboring pixels surrounding a central pixel of an image. A blending factor is determined according to a flatness of the image. An updated pixel value of the central pixel is determined by blending the original pixel value of the central pixel and the mean according to the blending factor. Finally, alternatively output the updated pixel value and the original pixel value of the central pixel in response to a block border signal.

Abstract: An overdrive apparatus applied to a display system is provided. The overdrive apparatus includes an indication unit, an access circuit and a plurality of memories. The indication unit provides an indication signal corresponding to a scan line of an image frame. The access unit reads a first overdrive table from a first memory among the memories, and loads a second overdrive table to a second memory among the memories according to the indication signal. The first overdrive table and the second overdrive table respectively correspond to a first region and a second region of the image frame.

Abstract: A compressive overdrive circuit includes: a compression unit for compressing a current frame to generate compressed data for buffering, where the compressed data comprises pixel values of a plurality of non-encoded pixels and a plurality of index values associated with the non-encoded pixels; and a decompression unit for decompressing according to the pixel values of the non-encoded pixels and the index values to generate data of a previous frame. The overdrive circuit performs overdrive processing according to the current frame and the previous frame.

Abstract: The present invention relates to a device and a method for controlling a liquid crystal display. The device comprises a luminance weighting value processor, an overdrive value generator, and an outputting unit. The luminance weighting value processor generates a weighting value according to a luminance value of a current pixel of a current frame of a video signal and a luminance value of a previous pixel of a previous frame of the video signal. The overdrive value generator generates an overdrive value according to a current pixel value of the current pixel and a previous pixel value of the previous pixel. The outputting unit generates an output pixel value according to the weighting value, the overdrive value and the current pixel value. Using the device and the method for driving a liquid crystal display according to the present invention, noise due to overdrive process can be reduced.

Abstract: An image processing method includes receiving an image data including a first pixel, a second pixel and a third pixel, the second pixel being between the first pixel and the third pixel; calculating a difference between two initial chrominance values of the first pixel and two initial chrominance values of the second pixel to determine a first difference, and calculating a difference between the two initial chrominance values of the second pixel and two initial chrominance values of the third pixel to determine a second difference; comparing the first difference with the second difference to select either the first pixel or the third pixel as a target pixel; and determining two adjusted chrominance values of the second pixel according to at least two initial chrominance values of the target pixel.

Abstract: The present invention provides a hue control system for adjusting a hue of a specified color. The system includes a hue determining circuit and a hue adjusting circuit. The hue determining circuit receives a plurality of color signals of the specified color and a plurality of hue adjusting values each corresponding to one color. The hue determining circuit generates a target hue value according to the color signals and the hue adjusting values. The hue adjusting circuit is coupled to the hue determining circuit. The hue adjusting circuit receives the color signals and the target hue value, and adjusts the hue of the color signals according to the target hue value.

Abstract: The present invention provides a noise reduction method for use in reducing noise of a digital image, the method comprising steps of: providing a plurality of luminance threshold values; determining a plurality of luminance feature values according to the luminance value of a target pixel and the luminance values of neighboring pixels of the target pixel; determining whether the target pixel is a noise point based on the comparison between each of the luminance feature values and each of the luminance threshold values corresponding thereto, respectively; and adjusting the luminance value, a first chrominance value and a second chrominance value of the target pixel if the target pixel is determined as a noise point. Using the noise reduction method of the present invention, not only noise of a digital image can be identified, but also the degradation caused by the noise can be reduced and thus the overall picture quality can be improved.

Abstract: A deblocking apparatus is provided. The deblocking apparatus includes a filter, a blocking detection module and a blending unit. The filter receives a target pixel of a pixel matrix to generate a filtered target pixel. The blocking detection module generates a deblocking intensity factor according to the pixel matrix. The blending unit receives the target pixel and the filtered target pixel, and dynamically blends the target pixel and the filtered target pixel to output an output pixel according to the deblocking intensity factor.

Abstract: A cable comprising one or more electrical conductors or communications media or a core of two or more electrical conductors or communications media, each electrical conductor, communications medium, or core being surrounded by a layer comprising: (a) polyethylene; polypropylene; or mixtures thereof; (b) carbon nanotubes; (c) a conductive carbon black other than carbon nanotubes; and (d) optionally, a copolymer of acrylonitrile and butadiene wherein the acrylonitrile is present in an amount of about 30 to about 60 percent by weight based on the weight of the copolymer or a silicone rubber.

Abstract: An image processing apparatus includes an image decoding unit and an image adjusting unit. The image decoding unit decodes a data stream to generate a first image comprising a first pixel. The image adjusting unit comprises a pixel edge determining module and a chrominance adjusting module. The pixel edge determining module determines an edge luminance parameter according to an initial luminance value of the first pixel and a plurality of initial luminance values of pixels neighboring the first pixel, and determines an edge chrominance parameter according to an initial chrominance value of the first pixel and a plurality of initial chrominance values of pixels neighboring the first pixel. The first chrominance adjusting module determines a first weight according to the edge luminance parameter and the edge chrominance parameter, and generates a first adjusted chrominance value by weighted calculating a first predetermined chrominance value and the initial chrominance value of the first pixel.

Abstract: A slide type electronic device includes a first device body, a second device body stacked on the first device body, and a slide mechanism provided between the first and second device bodies. The first device body has first and second input interfaces located at different positions. The slide mechanism enables the second device body to slide relative to the first device body in different directions to permit access to one of the first and second input interfaces.