Abstract:
An image processing method and an image processing apparatus that utilize scrolling text information and moving edge-pairs of an edge map to determine text regions in interpolated frame is introduced herein. Text blocks are detected according to the moving edges-pair of the edge map. Next, a first moving vector histogram and a second moving vector histogram are built according to the detected text blocks. An existence of scrolling text and motion vector of the scrolling text in the frames are determined according to the first and second moving vector histograms. A scrolling text region in at least one of the first frame and the second frame is determined in block line unit, and positions of each scrolling text pixels in an interpolated are determined according to the motion vector of the scrolling text and the scrolling text region in the at least one of the first frame and the second frame.
Abstract:
An image processing method and an image processing apparatus that utilize scrolling text information and moving edge-pairs of an edge map to determine text regions in interpolated frame is introduced herein. Text blocks are detected according to the moving edges-pair of the edge map. Next, a first moving vector histogram and a second moving vector histogram are built according to the detected text blocks. An existence of scrolling text and motion vector of the scrolling text in the frames are determined according to the first and second moving vector histograms. A scrolling text region in at least one of the first frame and the second frame is determined in block line unit, and positions of each scrolling text pixels in an interpolated are determined according to the motion vector of the scrolling text and the scrolling text region in the at least one of the first frame and the second frame.
Abstract:
The display system adapted to provide a client oriented service is provided. The display system includes a source device and a sink device. The source device encodes a video input to output a video output. The video input includes video data. The video output includes metadata and a video stream, and the video stream is encoded from the video data. The sink device communicates with the source device. The sink device receives and decodes the video output to obtain the video data. The sink device displays images according to the video data and the metadata. The source device generates the metadata from the video input according to hardware parameters of the sink device. In addition, a source device, a sink device and an image displaying method are also provided.
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:
Method for detecting disappearance of a pattern is used to detect whether a fixed-still pattern in dynamic displayed images disappears. Method includes analyzing a pattern characteristic parameter which represents the fixed-still pattern from each of images continuously displayed in a time sequence, It is checked whether the pattern characteristic parameter fast decreases from at least greater than a high level to at least less than a low level, as a first state transition. Sum of absolute difference (SAD) values for all of the pixels between a previous image and a current image is calculated. It is checked whether the sum of the SAD values fast increases from at least less than a low level to at least greater than a high level, as a second state transition. When the first state transition and the second state transition occur simultaneously, it is determined that the fixed-still pattern disappears in the display.
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 method of detecting image format includes dividing a single-frame image into a plurality of macro-blocks; calculating a correlation coefficient of a left-half image of the single-frame image and a right-half image of the single-frame image as a first global similarity; calculating a correlation coefficient of a top-half image of the single-frame image and a bottom-half image of the single-frame image as a second global similarity; calculating a portion difference of each macro-block; comparing the portion differences of the left-half image and the right-half image, for acquiring a first local similarity; comparing the portion differences of the top-half image and the bottom-half image, for acquiring a second local similarity; and detecting an image format of the single-frame image according to the first global similarity, the second global similarity, the first local similarity, the second local similarity, a first threshold and a second threshold.
Abstract:
A display apparatus and an image display method of the display apparatus are provided, and the image display method includes following steps. Video contents that include a plurality of single frame images are received. A detection zone of the single frame images is determined according to a current scale mode of the display apparatus, and the different scale modes correspond to the different detection zones. The detection zone of each single frame image is detected to determine an image format of the video contents. A play mode of the display apparatus is adjusted according to the image format, and the video contents which are scaled are displayed by the display apparatus in the play mode.
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.