Abstract: A pixel interpolation method for interpolating a pixel value of a target pixel in a target picture is disclosed. The pixel interpolation method includes performing up-sampling upon the target picture for generating an up-sampled picture corresponding to the target picture, and interpolating the target pixel according to the up-sampled picture. The step of performing up-sampling upon the target picture includes interpolating and generating a third pixel in between a first pixel and a second pixel that are a pair of two adjacent pixels of each pixel line of the target picture, whereof a pixel value of the third pixel is an average of pixel values of the first pixel and the second pixel.

Abstract: A method and related apparatus for restraining erroneous image colors are provided for correcting pixel values of three sequential image fields of a video data while de-interlacing the video data. The method is utilized to correct the video data by detecting whether penetrations from luminance signals into chrominance signals or penetrations from chrominance signals into luminance signals occur in the video data. In embodiments of the present invention, the pixel chrominance signals of image fields with the same polarity are utilized to correct the pixel chrominance signals of another image field. Pattern matching and edge detection are utilized to determine whether penetrations from chrominance signals into luminance signals occur.

Abstract: The present invention provides a method and apparatus for de-interlacing video data by using a horizontal motion vector of a horizontal motion between fields. The horizontal motion regarding a target pixel of a frame is compensated if the horizontal motion vector is found to be substantially not null according to the pixels residing in the fields determined by the horizontal motion vector. This results in an upgraded quality of image after the de-interlacing process.

Abstract: A phase detection apparatus includes: a motion detector, for determining whether an image data corresponds to a still image data; an image characteristic detector, coupled to the motion detector, for detecting a characteristic image data having cross color phenomenon when the image data corresponds to a still image data; a phase testing module, coupled to the image characteristic detector, for processing the characteristic image data according to a plurality of phases to obtain a plurality of testing results; and a phase determining module, for selecting a phase from the plurality of phases according to the plurality of testing results.

Abstract: The present invention provides de-interlacing methods and related apparatuses. One of the proposed de-interlacing methods includes edge detection of a target region corresponding to a target position. When the target region is assumed to include an edge that is considered stationary, and if the target position is on a stationary side of the edge, then a pixel value for the target position is generated by inter-field interpolation.

Abstract: An image noise detection method is disclosed. The image noise detection method includes the following steps: obtaining a spatial information of an image; obtaining a temporal information of the image; and determining a spatial noise or a temporal noise of the image according to both the spatial information, and the temporal information.

Abstract: The present invention discloses an image processing apparatus for processing an image. The image processing apparatus includes a line-pattern detecting module and an image processing module. The line-pattern detecting module examines how a first plurality of pixels of a first pixel line change and how a second plurality of pixels of a second pixel line change so as to determine which pattern an area of the image corresponds to. The image processing module selectively performs at least one of a plurality of image processing operations according to the pattern the image area corresponds to. The first and the second pixel lines correspond to the image area.

Abstract: Disclosed is a method for reducing temporal noise, comprising: performing motion detection on frames of a video data stream; calculating a pixel difference between pixels of frames in the video data stream to generate at least a pixel difference value; determining a set of weighting value for temporal filtering according to a result of the motion detection and a result of the pixel difference value calculation; and performing temporal filtering on frames in the video data stream according to the weighting values.

Abstract: The present invention provides a noise reduction apparatus and method thereof. The noise reduction apparatus includes a first detecting logic, a second detecting logic, a first noise filtering logic, a second noise filtering logic, and an output logic. The first detecting logic detects if a video signal has a first noise characteristic. The second detecting logic detects if the video signal has a second noise characteristic. The first noise filtering logic performs a first noise filtering process upon the video signal to generate a first filtered signal. The second noise filtering logic performs a second noise filtering process upon the video signal to generate a second filtered signal. The output logic receives the first filtered signal and the second filtered signal, and references detection results provided by the first detecting logic and the second detecting logic when generating an output signal.

Abstract: The present invention provides a video detecting device including a first pixel detector, a second pixel detector, and a determining unit. The first pixel detector compares the intensity of a target pixel of a target scan line in a first field with the intensity of first comparing pixels of scan lines corresponding to the target scan line in a second field to generate a first detection value corresponding to the target pixel. The second pixel detector compares the intensity of a reference pixel of a nearby scan line in the second field with the intensity of second comparing pixels of scan lines corresponding to the nearby scan line in the first field to generate a second detection value corresponding to the reference pixel. According to the first and second detection values, the determining unit generates a diagnostic value which helps determine sawtooth occurrences in video frames.

Abstract: The present invention provides an image processing method for processing an image. The method includes: detecting at least an edge in the image; determining at least a pixel window including the edge; detecting whether a mosquito noise exists in the pixel window; and filtering out the detected mosquito noise in the pixel window.

Abstract: The present invention provides an image processing method for processing an image. The method includes: detecting at least an edge in the image; selecting at least a first pixel and at least a second pixel according to the edge; deciding whether the edge is a block effect by determining whether a pixel difference between the first pixel and the second pixel locates in a predetermined range; and filtering out the detected block effect.

Abstract: The present invention provides a device and a method for reducing impulse noise. The device includes a signal intensity detector, an intensity difference calculator, and a filtering circuit. The signal intensity detector receives an image signal and determines a first pixel having an extreme intensity, and a second pixel having a second extreme intensity of a window of the image frame corresponding to the image signal. The intensity difference calculator determines the intensity difference between the first pixel and the second pixel. The filtering circuit receives the image signal and optionally filters the image signal for reducing the impulse noise according to the intensity difference between the first pixel and the second pixel.

Abstract: The present invention discloses a video processing apparatus. The video processing apparatus includes a smooth detecting module and a video processing module. The smooth detecting module categorizes a target position in a target image of a video data as a smooth position or a non-smooth position to generate a categorizing result. The video processing module performs at least one of a plurality of video processing operations upon the target position according to the categorizing result.

Abstract: A field balancing device for balancing the lightness/color of top fields and bottom fields of an interlaced signal includes: a detection circuit for detecting a lightness/color difference between at least one portion of at least one top field of the interlaced signal and at least one portion of at least one bottom field of the interlaced signal to generate a detection result; and a processing circuit, coupled to the detection circuit, for selectively processing at least one field of the interlaced signal according to the detection result to balance the lightness/color of top fields and bottom fields of the interlaced signal.

Abstract: A pixel interpolation method for interpolating pixel values of a plurality of target positions of a target picture is disclosed. The pixel interpolation method includes: dynamically setting a plurality of edge detection ranges corresponding to the plurality of target positions, respectively; and for each of the plurality of target positions, performing a edge detection according to a corresponding edge detection range to determine an edge direction for the target position, and interpolating a pixel value for the target position according to pixel data corresponding to the edge direction.

Abstract: A video processing circuit capable of processing a composite signal and a non-composite signal, includes: a line buffer; a frame buffer; a video decoder for decoding the composite signal by utilizing the line buffer and the frame buffer as temporary buffers of the video decoder; a cross color suppressor for performing color suppression on the non-composite signal by utilizing the line buffer and the frame buffer as temporary buffers of the cross color suppressor; and a path controller, coupled to the video decoder and the cross color suppressor, for coupling the line buffer and the frame buffer to the video decoder or the cross color suppressor when utilizing the line buffer and the frame buffer is required.

Abstract: An apparatus for scaling an input image is disclosed. The apparatus includes a resolution determining circuit and a scaler. The determining circuit determines the resolution of the input image. The scaler includes a scaling filter with an adjustable number of filter taps and scales the input image to output scaled pixels, wherein an amount of taps of scaling filter corresponds to the resolution of the input image.

Abstract: A de-interlacing method for generating a pixel value of a target position of an output frame corresponding to a target field is disclosed. The de-interlacing method includes: generating a first motion value corresponding to the target position of the target field; determining whether the target position of the target field has motion; determining if image corresponding to the target position meets a predetermined condition; generating at least a second motion value, wherein each second motion value corresponds to a reference position of the target position; and according to the first motion value, the second motion value, and the result of the motion determining step, performing either an inter-field interpolation or an intra-field interpolation to generate the pixel value of the target position of the output frame.

Abstract: The present invention provides an apparatus and a method for de-interlacing. The apparatus includes an edge detection module, a statistics module, and an interpolation circuit. The edge detection module performs an edge detection operation on a plurality of pixels of an image so as to generate edge information corresponding to the image. The statistics module performs a detection window based statistics operation on the edge information so as to generate statistics information corresponding to the image. The interpolation circuit interpolates the image according to the statistics information so as to generate an intra-field interpolation signal corresponding to the image.