Abstract: The invention provides image display panels. The image display panel comprises a histogram generator, a tone slope generator, and an image transformer. The histogram generator receives an original image, counts the pixels of different gray levels to generate a histogram distribution of the original image, and compares the pixel counts at every gray level with a first threshold count to identify the peaks of the histogram distribution. The tone slope generator generates a tone slope based on the histogram distribution and peaks of the histogram distribution. The image transformer transforms the original image into a modified image based on the tone slope.

Abstract: A system of generating three-dimensional (3D) depth information is disclosed. A color and object independent local blurriness estimation unit analyzes blurriness of each pixel of a two-dimensional (2D) image. Subsequently, a depth assignment unit assigns depth information to the 2D image according to the analyzed blurriness.

Abstract: An adaptive color-temperature calibration system and method are disclosed. A chrominance generation unit generates a chrominance criterion according to an input pixel. A matrix generation unit generates a calibration matrix according to the chrominance criterion and a basis matrix. A color calibration unit then performs color-temperature calibration on the input pixel according to the generated calibration matrix, thereby generating an output pixel.

Abstract: An image processing method applied in an image processor for processing an image including first pixels each having a corresponding pixel value. The pixel values of first pixels are distributed within a first distribution range. Second pixels comprise a region and are obtained from first pixels when a difference between pixel values of adjacent second pixels is less than a predetermined value. Gained pixel values are obtained after applying a gain to the image. An amount of distortion is obtained by summing up weighted differences between a reference pixel value and gained pixel value of first pixels having gained pixel value not distributed within first distribution range. A weighting factor does not equal to 1 when first pixel is within the region, and equals to 1 when first pixel is outside the region. The gain is updated according to the distortion. Processed image is obtained by applying the updated gain.

Abstract: In accordance with at least some embodiments of the present disclosure, a process for generating a depth map for converting a two-dimensional (2D) image to a three-dimensional (3D) image is described. The process may include generating a depth gradient map from the 2D image, wherein the depth gradient map is configured to associate one or more edge counts with one or more depth values, extracting an image component from the 2D image, wherein the image component is associated with a color component in a color space, determining a set of gains to adjust the depth gradient map based on the image component, and generating the depth map by performing depth fusion based on the depth gradient map and the set of gains.

Abstract: An apparatus and a method for dynamic backlight-control in an electronic device are provided. The apparatus includes a battery power-level detection unit and a controlling unit. The battery power-level detection unit is used for detecting the power level of a battery in the electronic device. The controlling unit is coupled to a backlight unit of a display device in the electronic device and the battery power-level detection unit for adjusting the illumination of the backlight unit according to the power level of the battery and an image-content lightness of an image inputted into the display device.

Abstract: A method of image processing and a device thereof are provided in the present invention. First, an image having a plurality of regions is received, wherein each region comprises a plurality of pixels. A contrast process is performed on each region and a respective local curve of each region is analyzed, wherein the local curve is a corresponding relation between the gray-level values of the pixels in each region before and after the contrast process. Next, the gray-level value of one of the pixels in a boundary between one of the regions and the neighboring region is adjusted according to the respective local curves of the one of the regions and the neighboring region. The local contrast process towards to each region is performed for enhancing the image. Therefore, not only can the features be obvious, but the non-uniform area in the boundary between the regions also can be smoothed.

Abstract: A method and an apparatus for adjusting a display parameter are provided. The method includes the steps of: (a) calculating a scene change value between a current frame and a previous frame; (b) setting a first weight according to the scene change value; (c) calculating an original parameter of the current frame; (d) providing a display parameter of the previous frame; (e) calculating a display parameter of the current frame according to the first weight, the original parameter, and the display parameter of the previous frame.

Abstract: A method of controlling a backlight module, a backlight controller and a display device using the same are provided herein. The method includes receiving an image having a plurality of regions, wherein the image is displayed by a plurality of color backlights. Next, a feature in a first region of the image and the feature in a second region of the image are analyzed to obtain a spatial weight, wherein the first region and the second region of the image is one of the regions and the second region is neighboring to the first region. Next, the feature in the first region of the image and the feature in the corresponding first region of the preciously received image are analyzed to obtain a temporal weight. One of the color backlights provided to the first region of the image is adjusted according to the spatial weight and the temporal weight.

Abstract: A method for frame rate up conversion is provided. The method includes the steps of: receiving a plurality of consecutive input video frames; detecting luminance information for a current frame; and generating a first output frame according to the luminance information for the current frame and a preceding frame before the current frame and generating a second output frame according to the luminance information for the current frame and a succeeding frame after the current frame, wherein the second output frame is outputted after the first output frame.

Abstract: A method for color calibration is provided. The method includes the steps of: providing an input color; obtaining luminance of the input color; determining a grey level of the input color according to luminance of the input color; determining a first calibration matrix and a second calibration matrix according to the grey level of the input color; generating a third calibration matrix according to the first calibration matrix, the second calibration matrix and the grey level of the input color; generating an output color according to the third calibration matrix and the input color.

Abstract: A frame rate up-conversion (FRUC) based dynamic backlight control (DBLC) system and method are disclosed. A frame rate up-conversion (FRUC) unit increases frame rate by adding at least one image frame in a video display, and a dynamic backlight control (DBLC) unit adjusts backlight luminance in the video display. The DBLC unit operates at an original frame rate, and adjusts the backlight luminance for the added image frame according to statistical information about the added image frame derived from the FRUC unit.

Abstract: A method and system of extracting a perceptual feature set for image/video segmentation are disclosed. An input image is converted to obtain a hue component and a saturation component, where the hue component is quantized into a number of quantum values. After weighting the quantized hue component with the saturation component, the weighted quantized hue component and the saturation component are subjected to a statistical operation in order to extract feature vectors. Accordingly, the method and system provide overall segmentation results that are very close to human interpretation.

Abstract: A method and system of mono-view depth estimation are disclosed. A two-dimensional (2D) image is first segmented into a number of objects. A depth diffusion region (DDR), such as the ground or a floor, is then detected among the objects. The DDR generally includes a horizontal plane. The DDR is assigned the depth, and each object connected to the DDR is assigned depth according to the depth of the DDR at the connected site.

Abstract: An apparatus and a method for motion adaptive de-interlacing with chroma up-sampling error remover are provided. Wherein, a motion detector determines moving pixels and static pixels in a target scan line. A first CUE remover and a second CUE remover remove the CUE of the target scan line in the previous field and the CUE of the adjacent scan lines in the current field, respectively. A de-interlace unit de-interlaces the adjacent scan lines to obtain a de-interlaced second scan line. A selector selects output data of the first CUE remover or the de-interlace unit as data of the target scan line according to a result of motion detection of the motion detector. A merging unit merges the adjacent scan line output by the second CUE remover and the target scan line output by the selector to output two scan lines of an output field.

Abstract: A method of directing a viewer's attention in an image display to enhance the perceived image quality and thus the viewer's preference of the image is disclosed. An image with an area of interest (AOI) is provided. The AOI is briefly displayed for a first time period. Subsequently, the image is normally displayed in its entirety for a second time period that is longer than the first time period. As a result, the viewer's attention is involuntarily directed to the AOI in a subliminal manner.

Abstract: A method of converting a frame rate of a video signal includes the steps of: receiving a pulldown film sequence existing in or converted from a sequence of successive-in-time frames of the video signal, in which the pulldown film sequence comprises a plurality of diverse original frames each having a corresponding number of duplicate frames; modifying the original frames; performing estimation of at least one motion vector associated with the modified original frames; and interpolating new frames between the modified original frames in accordance with the motion vector.

Abstract: A method and apparatus of tile-based belief propagation are disclosed. An image is split into a number of tiles. Messages are iteratively generated within each of the tiles based on the messages from neighboring pixels to the tile at a previous iteration, wherein each message represents information of a state of the pixel. The generated messages for sending out of the tiles are stored. Labels are then determined based on the stored messages, wherein each label represents the state of the pixel.

Abstract: A motion compensation apparatus and a motion compensation method are provided. The motion compensation apparatus comprises: a memory, a motion vector generator, a deviation calculator, a determining module, a selector and a motion compensator. The memory stores a plurality of frame encode information and a plurality of decoded frames; the motion vector generator generates a motion vector according to the plurality of frame encode information; the deviation calculator calculates a deviation data according to the motion vector and the plurality of decoded frames; the determining module determines a confidence level of the motion vector according to the deviation data; the selector selects a plurality of pixels from the plurality of decoded frames according to the motion vector when the confidence level is high; and the motion compensator compensates the plurality of decoded frames according to the plurality of pixels.

Abstract: A depth-based image enhancement system is disclosed. A depth estimation unit generates three-dimensional (3D) depth information from a two-dimensional (2D) image. Subsequently, an image enhancement unit enhances the 2D image according to the 3D depth information.