Abstract: A Hadamard transform-based image compression method includes performing a Hadamard transform on 2k pixel values according to a product of a 2k×2k stage Hadamard matrix and a 2k×2k adjustment matrix to generate 2k conversion values, where k is a positive integer and at least one of the 2k conversion values is zero. The adjustment matrix satisfies a condition that: when the 2k pixel values are divided into G pixel groups each comprising 2k/G adjacent pixels values and the adjustment matrix is multiplied with a first 2k×1 matrix formed by the 2k pixel values to transform the first 2k×1 matrix to a second 2k×1 matrix, each pixel value of the first matrix is transformed to an average of a pixel group comprising the pixel value to form the second 2k×1 matrix.

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: 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: 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 and a second image respectively having a first pixel and a second pixel at the same target position. The image adjusting unit generates a luminance motion parameter and a chrominance motion parameter according to initial luminance values and initial chrominance values of the first pixel and the second pixel, and generates an adjusted chrominance value of the first pixel by weighted averaging the initial chrominance values of the first pixel according to the luminance motion parameter and the chrominance motion parameter.

Abstract: A television (TV) image adjusting method includes performing a variance calculation on luminance values of a plurality of pixels adjacent to target pixels of an image frame to generate a weight index; performing a decay function calculation according to the weight index to generate a weight distribution corresponding to the plurality of pixels adjacent to the target pixels. A function value of the decay function is inversely proportional to both the weight index and a target pixel distance between the target pixels and the plurality of pixels adjacent to the target pixels. The target pixel distance is a sum of vertical distances and horizontal distances between the target pixels and the plurality of pixels adjacent of the target pixels. The method further performs a weight calculation on the luminance values of the plurality of pixels adjacent to target pixels according to the weight distribution to generate an output luminance value.

Abstract: An image processing apparatus includes an edge keeping index (EKI) generating unit and a noise reducing unit. The image decoding unit decodes a data stream to generate a plurality of image comprising at least a current image having the target pixel.

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: An image processing method includes generating a block matching result by performing a block matching operation according to a plurality of image blocks in the horizontal direction without referring to an image block in the vertical or other directions and performing an image processing operation according to the block matching result of the block matching operation.

Abstract: An edge compensated feature detector includes a local difference unit receiving an incoming video signal and calculating a local difference value according to a component difference in a local area of a video frame formed by the incoming video signal; an adjustment unit coupled to the local difference unit for mapping the local difference value onto an edge gain value; a feature extraction unit for extracting a particular feature of the incoming video signal; and a multiplier coupled to the adjustment unit and the feature extraction unit for multiplying feature data corresponding to the output of the feature extraction unit with the edge gain value to thereby generate an edge compensated feature component.

Abstract: An image processing method and an image processing apparatus are provided. After receiving an image signal, the image and apparatus according to the invention first judge whether a target block in the image signal includes a non-chroma line. If the judging result is YES, a first edge detection procedure will be performed on the non-chroma line. If the judging result is NO, a second edge detection procedure will be performed on the target block.

Abstract: A system and same method are provided for producing video signal timing to a display apparatus that has different input/output image/video format. In addition to an image scaler, the system comprises a clock adjuster including a first and a second clock generator. The first clock generator generates a first clock signal by which the input/source pixel data included in the input/source image frame are received. The second clock signal is generated and adjusted to have an average clock period such that the ratio of the input and output frame rates is substantially kept constant. Thus, the skew between the source/input images and the display/output images can be adjusted, and the output frame repeating and/or dropping can be avoided.

Abstract: Methods and systems of color image processing for color adjustments. Phase information of a received chrominance signal is detected and applied to adjust saturation and hue of the color by changing the magnitude and phase of the chrominance signal respectively. The phase information of the chrominance signal can also be used to adjust the brightness by changing the magnitude of a received luminance signal.

Abstract: A method and for extracting a chrominance signal of a video signal is disclosed. The method includes the following steps: generating a target video signal, a first delayed video signal, a second delayed video signal and a plurality of reference video signals; generating a HCS according to the target video signal; generating a VCS according to the target video signal and the plurality of reference video signals; generating a temporal chrominance signal; generating a SLFD according to the target video signal and the plurality of reference video signals; generating a weighting factor according to the target video signal, the second delayed video signal and the plurality of reference video signals; generating a spatial chrominance signal; and generating the chrominance signal of the video signal by determining the spatial chrominance signal, the temporal chrominance signal and the weighting factor.

Abstract: A clamping system for clamping a video signal, wherein the clamping system uses a charge-pump unit in company with a digital clamping controller to clamp the potential of the video signal, prior to the video signal being input to a programmable gain amplifier and an A/D converter, so as to reach a desired level. The charge-pump unit provides two charge-pump circuits, wherein one charge-pump circuit supplies a strong burst to boost the potential of the video signal while the video signal is below a threshold value. Otherwise, the other charge-pump circuit supplies a weak burst to fine tune the potential of the video signal when the video signal has reached the threshold value.

Abstract: An edge compensated feature detector includes a local difference unit receiving an incoming video signal and calculating a local difference value according to a component difference in a local area of a video frame formed by the incoming video signal; an adjustment unit coupled to the local difference unit for mapping the local difference value onto an edge gain value; a feature extraction unit for extracting a particular feature of the incoming video signal; and a multiplier coupled to the adjustment unit and the feature extraction unit for multiplying feature data corresponding to the output of the feature extraction unit with the edge gain value to thereby generate an edge compensated feature component.

Abstract: A method and/or apparatus for separating a video signal into a luminance signal and a chrominance signal is disclosed. The method first generates a target video signal and a plurality of reference video signals by delaying the video signal, then generates a plurality of intermediate signals such as an HCS, VCS and SLED according to the target signal and the plurality of reference signals, and finally generates the chrominance signal of the video signal by determining the HCS, the VCS, and the SLFD and generates the luminance signal of the video signal according to the chrominance signal of the video signal and the plurality of reference video signals.

Abstract: Methods and systems of color image processing for color adjustments. Phase information of a received chrominance signal is detected and applied to adjust saturation and hue of the color by changing the magnitude and phase of the chrominance signal respectively. The phase information of the chrominance signal can also be used to adjust the brightness by changing the magnitude of a received luminance signal.

Abstract: A system and same method are provided for producing video signal timing to a display apparatus that has different input/output image/video format. In addition to an image scaler, the system comprises a clock adjuster including a first and a second clock generator. The first clock generator generates a first clock signal by which the input/source pixel data included in the input/source image frame are received. The second clock signal is generated and adjusted to have an average clock period such that the ratio of the input and output frame rates is substantially kept constant. Thus, the skew between the source/input images and the display/output images can be adjusted, and the output frame repeating and/or dropping can be avoided.

Abstract: A video signal comprises a chrominance signal and a luminance signal. A cross color effect elimination apparatus for utilizing a first carrier wave to eliminate a cross color effect from the video signal includes a cross color estimator coupled to the video signal for estimating a cross color component of the video signal, a modulator coupled to the cross color estimator and the first carrier wave for utilizing the first carrier wave to convert the cross color component into a luminance compensation component, and an adder coupled to the luminance signal and the modulator for adding the luminance signal to the luminance compensation component to thereby generate a compensated luminance signal.

Abstract: A clamping system for clamping a video signal, wherein the clamping system uses a charge-pump unit in company with a digital clamping controller to clamp the potential of the video signal, prior to the video signal being input to a programmable gain amplifier and an A/D converter, so as to reach a desired level. The charge-pump unit provides two charge-pump circuits, wherein one charge-pump circuit supplies a strong burst to boost the potential of the video signal while the video signal is below a threshold value. Otherwise, the other charge-pump circuit supplies a weak burst to fine tune the potential of the video signal when the video signal has reached the threshold value.