Abstract:
An overdrive device includes a training unit, an analysis unit and a Contrast adjustment unit. The training unit establishes a luminance difference look-up table (LUT) having an R2 number of luminance differences. Each of the R2 number of luminance differences represents a luminance difference between a measured display luminance value and a target luminance value of a display device when each of first and second viewing angle images correspond to any value of a grayscale range R. With respect to first and second viewing angle input image data, for pixel data therein corresponding to a same pixel position, the analysis unit looks up the luminance difference LUT to obtain a looked-up luminance difference, and accordingly calculates a luminance difference index. The contrast adjustment unit partially adjusts the grayscale of the second viewing angle image according to the luminance value index to obtain headroom for an overdrive operation.
Abstract:
An image processing device includes an image processing unit, an over-driving unit, and an up-sampler. The image processing unit receives a full-resolution 3D input image and outputs a half-resolution 3D image to a memory. The over-driving unit is coupled to the image processing unit and the memory for over-driving a current half-resolution 3D image outputted from the image processing unit according to a previous half-resolution 3D image stored in the memory. The up-sampler is selectively coupled to the over-driving unit for up-sampling an over-driven half-resolution 3D image outputted from the over-driving unit to output a full-resolution 3D output image.
Abstract:
An image processing method for adjusting the luminance and contrast of an input image comprises the following steps. First, local spatial luminance statistics is performed on the first pixels of the input image to generate a luminance image including a plurality of second pixels. Then, from a preset mapping curve group comprising a plurality of smooth mapping curves, a corresponding smooth mapping curve is selected for each of the second pixels according to an adjusting function. Next, the pixel values of the second pixels are adjusted according to the corresponding smooth mapping curves to generate an adjusted image.
Abstract:
An image processing apparatus and an image fine-tuning method are provided. The image processing apparatus includes a high-pass filter, a block comparator, an image data reconstructor, and a calculator. The high-pass filter receives a first image to generate a filtered image. The block comparator receives an input image and the first image to generate a block comparison result. The image data reconstructor receives the filtered image and the block comparison result to generate image reconstruction data. The calculator receives the input image and the image reconstruction data to generate an output image.
Abstract:
A three-dimension (3D) image processing method is disclosed. A plurality of asymmetric filtering is performed on an input depth map to obtain a plurality of asymmetric filtering results. One among the asymmetric filtering results is selected as an output depth map. A two-dimension (2D) image is converted into a 3D image according to the output depth map.
Abstract:
An image processing circuit and an image processing method are provided. The image processing circuit comprises a full search engine and a frame rate conversion (FRC) engine. The full search engine executes a full search to generate a sum of sum of absolute difference (SAD) distribution according to the reference image and the current image. The FRC engine analyzes a scene characteristic from the current image according to SAD distribution. The FRC engine adjusts at least one of the control parameters according to the scene characteristic. The FRC engine generates an interpolated image according to the reference image, the current image and the control parameters.
Abstract:
An overdrive device includes a training unit, an analysis unit and a Contrast adjustment unit. The training unit establishes a luminance difference look-up table (LUT) having an R2 number of luminance differences. Each of the R2 number of luminance differences represents a luminance difference between a measured display luminance value and a target luminance value of a display device when each of first and second viewing angle images correspond to any value of a grayscale range R. With respect to first and second viewing angle input image data, for pixel data therein corresponding to a same pixel position, the analysis unit looks up the luminance difference LUT to obtain a looked-up luminance difference, and accordingly calculates a luminance difference index. The contrast adjustment unit partially adjusts the grayscale of the second viewing angle image according to the luminance value index to obtain headroom for an overdrive operation.
Abstract:
An image processing circuit and an image processing method are provided. The image processing circuit comprises a full search engine and a frame rate conversion (FRC) engine. The full search engine executes a full search to generate a sum of sum of absolute difference (SAD) distribution according to the reference image and the current image. The FRC engine analyzes a scene characteristic from the current image according to SAD distribution. The FRC engine adjusts at least one of the control parameters according to the scene characteristic. The FRC engine generates an interpolated image according to the reference image, the current image and the control parameters.
Abstract:
An image processing apparatus and an image fine-tuning method are provided. The image processing apparatus includes a high-pass filter, a block comparator, an image data reconstructor, and a calculator. The high-pass filter receives a first image to generate a filtered image. The block comparator receives an input image and the first image to generate a block comparison result. The image data reconstructor receives the filtered image and the block comparison result to generate image reconstruction data. The calculator receives the input image and the image reconstruction data to generate an output image.
Abstract:
An image processing method for processing an interleaved image is disclosed. A reference window and direction windows matched to the reference window are set with respect to known pixel rows in the interleaved image. First parameters along candidate directions of the reference window is calculated, wherein the first parameters denote pixel differences between the reference window and the direction windows. A respective first direction, among direction groups of the candidate directions and corresponding to a minimum of the first parameters, is found. First and/or second portion direction of first and second portions of the interleaved image are found among the first directions. The first and the second portions of the interleaved image are identified according to the first parameters. A center pixel of the reference window is obtained by interpolation according to the first and the second portion directions.