Abstract: A system and method for motion adaptively filtering a de-interlaced video signal. This motion adaptive filtering may be accomplished by using a motion value determined during motion adaptive de-interlacing. The motion value may be used to adjust the amount of filtering to be applied to the de-interlaced signal. Edges in the signal representing motion my be filtered more than static regions. A pixel by pixel difference between multiple signal frames, calculated during motion adaptive de-interlacing, may be used to determine the motion value. A motion adaptive filter may be implemented either separately from the motion adaptive de-interlacer or incorporated as part of the motion adaptive de-interlacer.

Abstract: A shared memory video processor including signal processing circuitry. The signal processing circuitry may enable a noise reducer and a de-interlacer to share access to field buffers in a memory device to store various field lines. Some of the stored field lines may also be shared within the signal processing circuitry. The sharing of some stored field lines reduces overall memory bandwidth and capacity requirements. The signal processing circuitry may be capable of performing multiple field line processing. A set of field line buffers may be provided to store field lines for multiple field segments and may provide the data to the corresponding inputs of the signal processing circuitry. To further reduce storage, some of the field line buffers may also be shared among the signal processing circuitry.

Abstract: A system and method for enhancing the detail edges and transitions in an input video signal. This enhancement may be accomplished by enhancing small detail edges before up-scaling and enhancing large amplitude transitions after up-scaling. For example, detail edge enhancement (detail EE) may be used to enhance the fine details of an input video signal. An edge map may be used to prevent enhancing the large edges and accompanying mosquito noise with the detail enhancement. Noise may additionally be removed from the signal. After the fine details are enhanced, the signal may be up-scaled. Luminance transition improvement (LTI) or chrominance transition improvement (CTI) may be used to enhance the large transitions of the input video signal post scaler.

Abstract: The intelligent saturation controller calculates the exact maximum saturation any valid YCbCr pixel can undergo before it becomes invalid in ROB space. The controller models the saturation operation in RGB color space and calculates the maximum saturation level at which the RGB values falls outside the valid range. The saturation operation is performed independently for every pixel of the incoming video frame and ensures that each output pixel is a valid. The controller finds the maximum saturation for each input pixel and checks whether it is less than the input saturation factor. If so, then this calculated maximum saturation value is applied. If not, the input saturation factor is applied. Accordingly, the output RGB pixels are valid and no clamping is necessary if no other video processing is done in YCbCr space. Increasing the saturation of the video signal results in a more vivid and more colorful picture.

Abstract: Disclosed herein are systems and methods for estimating global and local motions between a pair of temporally adjacent frames of an input signal and for applying these motion vectors to produce at least one interpolated, motion-compensated frame between the adjacent frames. In particular, the systems and methods comprise designs for a motion compensated frame rate converter including a global affine motion estimation engine, a global translation motion estimation engine, a segmentation mask generator, an object edge strength map generator and a local motion estimation engine. Combinations of these features are implemented in a motion compensated picture rate converter to accurately and efficiently provide motion estimation and compensation for a sequence of frames.

Abstract: Systems and methods are provided for improving the visual quality of low-resolution video displayed on large-screen displays. A video format converter may be used to process a low-resolution video signal from a media providing device before the video is displayed. The video format converter may detect the true resolution of the video and deinterlace the video signal accordingly. For low-resolution videos that are also low in quality, the video format converter may reduce compression artifacts and apply techniques to enhance the appearance of the video.

Abstract: The invention includes a system and the associated method for decoding multiple video signals. The video signals may be component video, composite video or s-video signals each having multiple portions using a multimode video decoder. A selection stage may combine the multiple video signals and select some of their video signal portions for processing. The selection stage may time-multiplex some of the video signal portions. An analog to digital conversion stage may be shared by the time-multiplexing of the video signals. A decoder stage may decode the various signal portions and provide decoded output video signals. These feature may reduce the overall cost of the system. Various clock signals may be used to operate various stages of a multimode video decoder. Some of the clock signals may run at different frequencies and others may operate at a different phase.

Abstract: A scaler positioning module may receive a video signal selected from among a plurality of video signals. The scaler positioning module may include scaler slots for arranging the signal path of the selected video signal through at least one scaler in the scaler positioning module. The scaler slots may enable the scaler positioning module to operate in three modes. The three modes may enable the scaler positioning module to output scaled data without memory operations, scale prior to a memory write, and scale after a memory read. A blank time optimizer (BTO) may receive data from the scaler positioning module at a first clock rate and distributed memory accesses based on a bandwidth requirement determination. The BTO may access memory at a second clock rate. The second clock rate may be slower than the first which may reduce memory bandwidth and enable another video signal to access memory faster.

Abstract: The adaptive contrast enhancer uses an adaptive histogram equalization-based approach to improve contrast in a video signal. For each video frame, the histogram of the pixel luminance values is calculated. The calculated histogram is divided into three regions that are equalized independently of the other. The equalized values are averaged with the original pixel values with a weighting factor that depends on the shape of the histogram. The weighting factors can be also chosen differently for the three regions to enhance the darker regions more than the brighter ones. The statistics calculated from one frame are used to enhance the next frame such that frame buffers are not required. Many of the calculations are done in the inactive time between two frames.

Abstract: A shared memory video processor including signal processing circuitry. The signal processing circuitry may enable a noise reducer and a de-interlacer to share access to field buffers in a memory device to store various field lines. Some of the stored field lines may also be shared within the signal processing circuitry. The sharing of some stored field lines reduces overall memory bandwidth and capacity requirements. The signal processing circuitry may be capable of performing multiple field line processing. A set of field line buffers may be provided to store field lines for multiple field segments and may provide the data to the corresponding inputs of the signal processing circuitry. To further reduce storage, some of the field line buffers may also be shared among the signal processing circuitry.

Abstract: Systems and methods are provided for improving the visual quality of low-resolution video displayed on large-screen displays. A video format converter may be used to process a low-resolution video signal from a media providing device before the video is displayed. The video format converter may detect the true resolution of the video and deinterlace the video signal accordingly. For low-resolution videos that are also low in quality, the video format converter may reduce compression artifacts and apply techniques to enhance the appearance of the video.

Abstract: A system and method for enhancing the detail edges and transitions in an input video signal. This enhancement may be accomplished by enhancing small detail edges before up-scaling and enhancing large amplitude transitions after up-scaling. For example, detail edge enhancement (detail EE) may be used to enhance the fine details of an input video signal. An edge map may be used to prevent enhancing the large edges and accompanying mosquito noise with the detail enhancement. Noise may additionally be removed from the signal. After the fine details are enhanced, the signal may be up-scaled. Luminance transition improvement (LTI) or chrominance transition improvement (CTI) may be used to enhance the large transitions of the input video signal post scaler.

Abstract: The invention includes a system and the associated method for decoding multiple video signals. The video signals may be component video, composite video or s-video signals each having multiple portions using a multimode video decoder. A selection stage may combine the multiple video signals and select some of their video signal portions for processing. The selection stage may time-multiplex some of the video signal portions. An analog to digital conversion stage may be shared by the time-multiplexing of the video signals. A decoder stage may decode the various signal portions and provide decoded output video signals. These feature may reduce the overall cost of the system. Various clock signals may be used to operate various stages of a multimode video decoder. Some of the clock signals may run at different frequencies and others may operate at a different phase.

Abstract: An adaptive histogram equalization-based approach improves contrast in a video signal. For each video frame, the histogram of the pixel luminance values is calculated. The calculated histogram is divided into three programmably-sized regions that are equalized independently of each other. The equalization is performed in a controlled fashion by clamping the peaks of the histogram thereby ensuring limited stretching of sharp peaks. The equalized values are averaged with the original pixel values with a weighting factor that is different for the three regions chosen such that the darker regions are enhanced more than the brighter ones. To ensure smooth enhancement, programmable guard band regions can be defined between the three divisions of the histogram. The statistics calculated from one frame may be used to enhance the next frame to eliminate the need for frame buffers. Many of the calculations may be performed in the inactive time between two frames.

Abstract: A motion adaptive video deinterlacer may process fields of video derived from frames of video. The deinterlacer may use multiple pixel motion engines to provide motion information about the pixels within each field. The output of the motion engines may be used to deinterlace the fields of video based on the detail within a field of video. The deinterlacer may use motion recursion and motion recirculation to provide temporal motion expansion for the pixels within each field. In addition, the deinterlacer may detect various cadences for various regions within the frames of video. The cadences may be detected using a calculated threshold, or without using a calculated threshold.

Abstract: A scaler positioning module may receive a video signal selected from among a plurality of video signals. The scaler positioning module may include scaler slots for arranging the signal path of the selected video signal through at least one scaler in the scaler positioning module. The scaler slots may enable the scaler positioning module to operate in three modes. The three modes may enable the scaler positioning module to output scaled data without memory operations, scale prior to a memory write, and scale after a memory read. A blank time optimizer (BTO) may receive data from the scaler positioning module at a first clock rate and distributed memory accesses based on a bandwidth requirement determination. The BTO may access memory at a second clock rate. The second clock rate may be slower than the first which may reduce memory bandwidth and enable another video signal to access memory faster.

Abstract: A multi-purpose scaler utilizes a vertical scaler module and a moveable horizontal scaler module to resample a video signal either vertically or horizontally according to a selected scaling ratio. The moveable horizontal scaler module resides in one of two slots within the multi-purpose scaler architecture to provide either horizontal reduction or horizontal expansion as desired. The multi-purpose scaler is arranged to scale the video using non-linear 3 zone scaling in both the vertical and horizontal direction when selected. The multipurpose scaler is arranged to provide vertical keystone correction and vertical height distortion correction when the video is presented through a projector at a non-zero tilt angle. The multi-purpose scaler is also arranged to provide interlacing and de-interlacing of the video frames as necessary.

Abstract: The color remapping system places axes on the Cb-Cr color plane to differentiate and isolate colors of interest. Each axis has a programmable position, hue change value and saturation change value. Input pixels from the video data stream are calibrated with respect to the axes and enhanced based upon the two neighboring axes adjacent to the input pixels. The system can be reconfigured in real time by repositioning the axes and changing their hue and saturation change values. The system is easy to program and reconfigure and provides visually pleasing enhancements to the digital video.

Abstract: The intelligent saturation controller calculates the exact maximum saturation any valid YCbCr pixel can undergo before it becomes invalid in RGB space. The controller models the saturation operation in RGB color space and calculates the maximum saturation level at which the RGB values falls outside the valid range. The saturation operation is performed independently for every pixel of the incoming video frame and ensures that each output pixel is a valid. The controller finds the maximum saturation for each input pixel and checks whether it is less than the input saturation factor. If so, then this calculated maximum saturation value is applied. If not, the input saturation factor is applied. Accordingly, the output RGB pixels are valid, and no clamping is necessary if no other video processing is done in YCbCr space. Increasing the saturation of the video signal results in a more vivid and more colorful picture.

Abstract: An adaptive histogram equalization-based approach improves contrast in a video signal. For each video frame, the histogram of the pixel luminance values is calculated. The calculated histogram is divided into three programmably-sized regions that are equalized independently of each other. The equalization is performed in a controlled fashion by clamping the peaks of the histogram thereby ensuring limited stretching of sharp peaks. The equalized values are averaged with the original pixel values with a weighting factor that is different for the three regions chosen such that the darker regions are enhanced more than the brighter ones. To ensure smooth enhancement, programmable guard band regions can be defined between the three divisions of the histogram. The statistics calculated from one frame may be used to enhance the next frame to eliminate the need for frame buffers. Many of the calculations may be performed in the inactive time between two frames.