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: A 3D image processing device comprising: an object detecting unit, for detecting a first location for an object in a first image and a second location for the object in a second image; a disparity determining unit, coupled to the object detecting unit, for computing a disparity result for the object between the first image and the second image according to the first location and the second location; a displacement computing unit, coupled to the disparity determining unit, for computing a first displacement distance of the first image and a second displacement distance of the second image according to the disparity result; and a displacement unit, coupled to the displacement computing unit, for moving the first image and the second image to generate a first displaced image and a second displaced image, according to the first displacement distance and the second displacement distance.

Abstract: A device for transforming 2D images into 3D images includes a position calculation unit and an image processing block. The position calculation unit generates multiple start points corresponding to multiple pixel lines of a panel according to a display type of the panel. The image processing block reshapes multiple input enable signals into multiple output enable signals according to the start points. The pixel lines of the panel displays the output data signal as multiple image signals respectively according to the output enable signals. The image signals include multiple left-eye image signals and multiple right-eye image signals.

Abstract: A 2D to 3D image conversion apparatus includes a data queue, a conversion unit and an offset calculation unit. The data queue receives and temporarily stores an input data value corresponding to a current pixel. The conversion unit outputs a current offset table corresponding to a current depth parameter of the current pixel. The current offset table includes (m+1) reference offsets corresponding to the current pixel and neighboring m pixels. The offset calculation unit selects one of the reference offsets corresponding to the current pixel in the current offset table and multiple previous offset tables as a data offset corresponding to the current pixel. The data queue selects and outputs an output data value corresponding to the current pixel according to an integer part of the data offset and the input data value.

Abstract: In an interlaced image processing method for processing fields generated by interlacing and including a plurality of rows of scan signals, the method includes: performing horizontal line detection on a current field so as to determine which of the rows of the scan signals is a horizontal line; according to the horizontal line detection result of the current field and a horizontal line detection result of a previous field, adjusting position of the horizontal line in the current field so as to approach position of a corresponding horizontal line in the previous field; and according to the result of position adjustment, re-sampling the current field. An interlaced image processing apparatus for implementing the method is also disclosed.

Abstract: An interpolation method, applied to image pictures, for interpolating at least one pixel into a position to be interpolated in a target image frame is disclosed. The interpolation method includes receiving a plurality of image fields having a corresponding image object, estimating a motion speed of the image object according to a distance between a first pixel position to which the image object located in a first image field of the plurality of image fields and a second pixel position to which the image object located in a second image field of the plurality of image fields, determining the pixel from the plurality of image fields according to the motion speed of the image object, and interpolating the pixel into the position to be interpolated in the target image frame.

Abstract: An image adjustment method includes the steps of: a) configuring a weight-value generator to receive first image data and specified data and to generate an adaptive weight value according to the first image data and the specified data; and b) configuring an image blender to receive the first image data and second image data, and to generate adjusted image data by blending the first image data and the second image data with reference to the adaptive weight value. The adaptive weight value has a magnitude that corresponds to a difference between the first image data and the specified data.

Abstract: A video processing apparatus for de-interlacing includes a video decoder and a de-interlacing circuit. The video decoder decodes a video data stream to generate an interlaced video signal and transmits a first interlaced control signal. The de-interlacing circuit is coupled to the video decoder, and includes a detecting unit and an interlacing to progressive converting unit. The detecting unit generates a second interlaced control signal according to the interlaced video signal and the first interlaced control signal. The interlacing to progressive converting unit is coupled to the detecting unit for receiving the interlaced video signal as well as the second interlaced control signal and for converting the interlaced video signal into a first progressive video signal according to the second interlaced control signal.

Abstract: A 2D to 3D image conversion apparatus includes a data queue, a conversion unit and an offset calculation unit. The data queue receives and temporarily stores an input data value corresponding to a current pixel. The conversion unit outputs a current offset table corresponding to a current depth parameter of the current pixel. The current offset table includes (m+1) reference offsets corresponding to the current pixel and neighboring m pixels. The offset calculation unit selects one of the reference offsets corresponding to the current pixel in the current offset table and multiple previous offset tables as a data offset corresponding to the current pixel. The data queue selects and outputs an output data value corresponding to the current pixel according to an integer part of the data offset and the input data value.

Abstract: A 3D image processing device comprising: an object detecting unit, for detecting a first location for an object in a first image and a second location for the object in a second image; a disparity determining unit, coupled to the object detecting unit, for computing a disparity result for the object between the first image and the second image according to the first location and the second location; a displacement computing unit, coupled to the disparity determining unit, for computing a first displacement distance of the first image and a second displacement distance of the second image according to the disparity result; and a displacement unit, coupled to the displacement computing unit, for moving the first image and the second image to generate a first displaced image and a second displaced image, according to the first displacement distance and the second displacement distance.

Abstract: An image processing apparatus includes: a pixel difference calculator for calculating a difference value between each first pixel of a previous image and a second pixel of a present image and at a position corresponding to said each first pixel, and outputting a plurality of pixel differences; a counter counting a number of positive pixel differences and a number of negative pixel differences in the pixel differences of a sampling window; a motion level determining unit calculating a motion level of a pixel in the sampling window according to the numbers of the positive and negative pixel differences; a blending value determining unit determining a blending value according to the motion level; and an output unit adding together weights of the present and previous images according to the blending value to generate and output an output image. An image processing method is also disclosed.

Abstract: An image processing apparatus includes a pixel difference calculator, a summing unit, a determining unit, and an output unit. The pixel difference calculator receives a present image having first pixels and a previous image having second pixels, calculates pixel differences between corresponding first and second pixels, and outputs positive and negative pixel difference values. The summing unit obtains a first output value by adding up those of the positive pixel difference values and a second output value by adding up those of the negative pixel difference values. The determining unit determines a noise level of the present image from the first and second output values, and outputs a blended value. The output unit adds together weights of pixels at the same positions of the present and previous images according to the blended value to generate an output image. An image processing method is also disclosed.

Abstract: A device for transforming 2D images into 3D images includes a position calculation unit and an image processing block. The position calculation unit generates multiple start points corresponding to multiple pixel lines of a panel according to a display type of the panel. The image processing block reshapes multiple input enable signals into multiple output enable signals according to the start points. The pixel lines of the panel displays the output data signal as multiple image signals respectively according to the output enable signals. The image signals include multiple left-eye image signals and multiple right-eye image signals.

Abstract: An image processing apparatus for processing a previous image having first pixels and a present image having second pixels. The image processing apparatus includes: a pixel difference calculating unit which calculates pixel differences between corresponding pairs of the first and second pixels, and outputs pixel difference values; an edge processing unit which detects and compares edge types of the first and second pixels, sums a number of the edge types that are the same, and outputs a sum value; a noise level processing unit which calculates a noise level of the present image according to the sum value and the pixel differences; a blending value determining unit which determines a blending value according to the noise level; and an output unit which adds weights of the present and previous images according to the blending value and outputs an output image. An image processing method is also disclosed.

Abstract: An image adjustment method includes the steps of: a) configuring a weight-value generator to receive first image data and specified data and to generate an adaptive weight value according to the first image data and the specified data; and b) configuring an image blender to receive the first image data and second image data, and to generate adjusted image data by blending the first image data and the second image data with reference to the adaptive weight value. The adaptive weight value has a magnitude that corresponds to a difference between the first image data and the specified data.

Abstract: The invention discloses a color correction method for adjusting the color performance of a display apparatus. The color correction method first displays a plurality of images on a panel of the display apparatus and measures the chromatic value and the luminance of each image so as to obtain the color characteristics of the display apparatus. According to the color characteristics, a corresponding color matrix is generated which is located at the CIE XYZ color space. Next, an output matrix is outputted by performing an operation between the color matrix and a gain matrix. Next, the elements in gain matrix are adjusted in order to have the output matrix be equal to a target matrix substantially. Finally, the display apparatus is set for calibrating the color performance thereof in accordance with the elements of the adjusted gain matrix.

Abstract: An image processing device includes: a peaking filter for performing peaking processing on an input image signal to generate a peaking image signal; a selection circuit, coupled to the peaking filter, for selecting a plurality of pixels within the peaking image signal; and a median filter, coupled to the selection circuit, for filtering the plurality of pixels within the peaking image signal to generate a filtered image signal.

Abstract: An apparatus for adjusting image color saturation and a method for adjusting a saturation level of an original image data are provided. The image color saturation apparatus includes a first color over-saturation level calculating unit, a parameter adjusting unit, a saturation adjusting unit and a second color over-saturation level calculating unit. The apparatus for adjusting image color saturation detects the number of over-saturation pixels in an input image according to a predefined over-saturation area, and the number of over-saturation pixels in an adjusted output image. Thus, the parameter adjusting unit can dynamically adjust a saturation gain to maintain the frame consistency according to the number of the over-saturation pixels.

Abstract: An image edge detection method includes: classifying a plurality of candidate directions of an image region into a first direction set and at least one second direction set; computing a gradient for each candidate direction of the first direction set to obtain a first gradient set; determining if the first gradient set satisfies the conditions that one edge direction exists in the first direction set; and if the first gradient set does not satisfy the conditions, determining that none of the plurality of candidate directions is the edge direction of the image region.

Abstract: A method for enhancing image quality includes: performing a peaking operation on an image signal to generate a peaking signal; selecting a plurality of pixels from the peaking signal and the image signal; and deciding a luminance value for a target pixel of the image signal according to luminance values of the plurality of pixels.