Abstract: An example operation may include one or more of obtaining a request to validate an application with respect to an OAuth provider, identifying a previously registered digital signature of the application, generating verification information of the application based on the identified digital signature of the application, and passing the generated verification information of the application to the OAuth provider via a user login page.

Abstract: An example operation may include one or more of obtaining a request to validate an application with respect to an OAuth provider, identifying a previously registered digital signature of the application, generating verification information of the application based on the identified digital signature of the application, and passing the generated verification information of the application to the OAuth provider via a user login page.

Abstract: The present invention provides a system and method for protecting data stored in the control registers of an integrated circuit, such as a television chip. The system and method use one or more selectively activated read protection modules to prevent the control registers from being read unless a predetermined key or password is entered. The password or key may be stored in password registers within the chip. A key access generator will enable read access of the control registers if correct values are written to the appropriate password registers. The key access generator may enable read access for a predetermined period of time or until it receives another input.

Abstract: The present invention provides a system and method for protecting data stored in the control registers of an integrated circuit, such as a television chip. The system and method use one or more selectively activated read protection modules to prevent the control registers from being read unless a predetermined key or password is entered. The password or key may be stored in password registers within the chip. A key access generator will enable read access of the control registers if correct values are written to the appropriate password registers. The key access generator may enable read access for a predetermined period of time or until it receives another input.

Abstract: An intensity compensation method for a display control device includes steps of obtaining a plurality of backlight duties of a plurality of backlights according to an image data; calculating a plurality of compensation gains according to the plurality of backlight duties and a non-uniform backlight profile, wherein the non-uniform backlight profile indicates a plurality of respective actual intensity distributions of the plurality of backlights; and compensating a plurality of first image intensities corresponding to a plurality of pixels of the image data according to the plurality of compensation gains, to obtain a plurality of second image intensities.

Abstract: A motion estimation method is provided, which includes following steps: dividing a first frame to be estimated into a plurality of area units, in which each of the area units includes a plurality of blocks; and assigning a set of motion vector values to each of the area units, in which the set of motion vector values includes a plurality of predetermined motion vector values, and each of the predetermined motion vector values is assigned to at least one block in each of the area units.

Abstract: An intensity compensation method for a display control device includes steps of obtaining a plurality of backlight duties of a plurality of backlights according to an image data; calculating a plurality of compensation gains according to the plurality of backlight duties and a non-uniform backlight profile, wherein the non-uniform backlight profile indicates a plurality of respective actual intensity distributions of the plurality of backlights; and compensating a plurality of first image intensities corresponding to a plurality of pixels of the image data according to the plurality of compensation gains, to obtain a plurality of second image intensities.

Abstract: The present invention discloses a brightness compensation method. The brightness compensation method includes controlling a plurality of backlights of a plurality of display areas to turn on with a plurality of backlight intensity; calculating a plurality of total backlight intensity; calculating a plurality of actual backlight intensity according to the plurality of total backlight intensity and a backlight scanning ratio; dividing a plurality of maximum backlight intensity when the plurality of backlights are fully turned on by the plurality of actual backlight intensity, to generate a plurality of compensation gains; and displaying a compensated image data with a plurality of compensated image intensity after compensating a plurality of image intensity corresponding to the plurality of display area of an image data with the plurality of compensation gains.

Abstract: A method is disclosed for display images on a three-dimensional stereo display device includes generating a detection result according to user information, and generating a disparity range signal according to the detection signal, a display information and a comfort model, retrieving a dense disparity map signal of an original display signal. The method also includes generating an adjusted disparity map signal according to the disparity range signal and the dense disparity map signal and outputting an adjusted display signal according to the adjusted disparity map signal and the original display signal, to process a three-dimensional stereo display operation of the three-dimensional stereo display device.

Abstract: An image processing method is disclosed, which includes receiving an image data of an image frame and dividing the image data into first image data corresponding to a 2D image and second image data corresponding to a 3D image, converting the first image data into 2D image data according to a 2D image format and converting the second image data into 3D image data according to a 3D image format, and outputting the 2D image data and the 3D image data for displaying the image frame.

Abstract: Method for detecting edge of fixed pattern includes receiving and analyzing a first image to obtain a first edge information. Second image and a corresponding second edge information are received, in which the second image includes an accumulation of image history information. According to the first edge information and the second edge information, a consistent number and an inconsistent number for pairs of pixels at the corresponding location of the first image and the second image are calculated, in which the consistent number represents how many pairs of pixels of which two compared pixels of each pair are both edge pixels, and the inconsistent number represents one of the two compared pixels is not the edge pixel. When the consistent number is greater than first predetermined value and meanwhile the inconsistent number is less than second predetermined value, first image and second image have a fixed pattern with fixed edge.

Abstract: The present invention provides a system and method for automatically controlling the phase of the clock signal for sampling an HDTV signal, which implements a new and improved method for phase detection. The system and method utilize the standard format of an HDTV signal to consistently ensure accurate phase detection. Particularly, the system and method detect the target phase for the sampling clock using a tri-level sync pattern that exists at the beginning of each display line. This tri-level sync pattern or “sync pulse” is well suited for phase detection since it includes several static areas separated by substantial transitions. Furthermore, by using the sync pulse of the HDTV signal, the system and method provide consistent and accurate results, since the sync pulse will not change regardless of the whether the video data is static or in motion.

Abstract: The present invention discloses a brightness compensation method. The brightness compensation method includes controlling a plurality of backlights of a plurality of display areas to turn on with a plurality of backlight intensity; calculating a plurality of total backlight intensity; calculating a plurality of actual backlight intensity according to the plurality of total backlight intensity and a backlight scanning ratio; dividing a plurality of maximum backlight intensity when the plurality of backlights are fully turned on by the plurality of actual backlight intensity, to generate a plurality of compensation gains; and displaying a compensated image data with a plurality of compensated image intensity after compensating a plurality of image intensity corresponding to the plurality of display area of an image data with the plurality of compensation gains.

Abstract: The present invention discloses an overdriving method for a liquid crystal display (LCD). The overdriving method includes steps of dividing a display area of the LCD into a plurality of sub-areas; and driving the sub-areas with a plurality of corresponding overdriving tables according to locations of the sub-areas in the display region. The plurality overdriving tables are corresponding to a plurality of overdriving capability.

Abstract: A method and system for frame insertion in a digital display system is provided. The method is adapted for use with a liquid crystal display (LCD) type display and is effective to substantially reduce motion blur. The LCD display receives a sequence of digitized input frames at a first frequency. The method generates a sequence of output frames that include the digitized input frames interspersed with a plurality of modified frames. Each of the modified frames is substantially similar to a preceding digitized input frame, but has a reduced luminance. The modified frames may be generated by multiplying a preceding digitized input frame by a reduced luminance factor. The reduced luminance factor may be determined as a fixed value or as a function of an average pixel level of a preceding frame.

Abstract: Method for detecting edge of fixed pattern includes receiving and analyzing a first image to obtain a first edge information. Second image and a corresponding second edge information are received, in which the second image includes an accumulation of image history information. According to the first edge information and the second edge information, a consistent number and an inconsistent number for pairs of pixels at the corresponding location of the first image and the second image are calculated, in which the consistent number represents how many pairs of pixels of which two compared pixels of each pair are both edge pixels, and the inconsistent number represents one of the two compared pixels is not the edge pixel. When the consistent number is greater than first predetermined value and meanwhile the inconsistent number is less than second predetermined value, first image and second image have a fixed pattern with fixed edge.

Abstract: Method for searching for a small moving object is used to insert an inserting image frame between two adjacent image frames. An inserting region in the inserting image frame is selected. Multiple preset extending directions passing through the inserting region are selected. The extending directions respectively intersect the two image frames simultaneously to analyze whether the extending directions satisfy a condition of movement of the same image object, and obtain at least one motion vector (MV) corresponding to the extending direction. A globe MV between the first image frame and the second image frame is obtained. It is compared whether a motion-vector difference between the at least one MV and the globe MV is smaller than a setting value, and then first local-region image data and second local-region image data corresponding to the MV are used for compensation to produce an inserting image for the inserted region about background.

Abstract: A method for searching small moving object is used to insert an inserting image frame between adjacent two image frames. An inserting region is selected in the inserting image frame. Multiple extending directions passing through the inserting region are selected. Each of the extending directions extends and intersects with the two image frames to analyze out which one of the extending directions satisfies the condition of movement by the same object, and obtain at least one motion vector corresponding to the extending direction. A globe motion vector between the two image frames is obtained. A motion-vector difference between the at least one motion vector and the globe motion vector is compared to judge whether greater than a setting value. If the motion vector difference is greater than the setting value then the first local-region image data and the second local-region image data are treated as a small moving object.

Abstract: A motion estimation method is provided, which includes following steps: dividing a first frame to be estimated into a plurality of area units, in which each of the area units includes a plurality of blocks; and assigning a set of motion vector values to each of the area units, in which the set of motion vector values includes a plurality of predetermined motion vector values, and each of the predetermined motion vector values is assigned to at least one block in each of the area units.

Abstract: Systems and methods of processing pixel information associated with video image deinterlacing are disclosed. In one exemplary implementation, the method may include performing an edge adaptive interpolation process on a present field so as to determine whether an edge passes through a pixel, wherein the edge adaptive interpolation process provides edge data including a first intensity estimate for the pixel, receiving motion data associated with motion compensation processing, including an estimated motion vector for at least one pixel proximate to the pixel in at least one reference field, determining a second intensity estimate for the pixel as a function of the edge data and the motion data, and performing an intensity-calculation procedure, wherein an interpolated intensity of the pixel is calculated as a function of the first intensity estimate and the second intensity estimate.