Abstract:
An image processing method is provided. The image processing method is applied to an image signal processor. The image processing method includes the stages detailed in the following paragraph. Binned-Bayer raw data and binned-white raw data are received from an image sensor with an RGBW color filter array. The binned-Bayer raw data include information of red, green, and blue channels for a plurality of pixels. The binned-white raw data include luminance information for the pixels. The pixels are rendered based on both the binned-Bayer raw data and the binned-white raw data.
Abstract:
An image processing method is provided. The method includes the step of comparing each of the input pixels in an input image to a corresponding buffered pixel in a buffered image, and computing the difference value between the input pixel value of the input pixel and the buffered pixel value of the buffered pixel. The method further includes the step of generating a blended image based on the input pixel values and the corresponding difference values. The method further includes the step of determining whether a criterion associated with the difference value is met, for each of the difference values. The method further includes the step of updating, for each of the buffered pixels in the buffered image, the buffered pixel value based on the corresponding input pixel value if the criterion is met, and keeping the buffered pixel value unchanged if the criterion is not met.
Abstract:
A method for image alignment is provided. The method for image alignment includes the following stages. A first image with a first property from a first sensor is received. A second image with a second property from a second sensor is received. The first property is similar to the second property. The first feature correspondence between the first image and the second image is calculated. A third image with a third property from the first sensor and a fourth image with a fourth property from the second image sensor are received. The third property is different from the fourth property. Image alignment is performed on the third image and the fourth image based on the first feature correspondence between the first image and the second image.
Abstract:
An image processing method is provided. The method includes a first MCNR stage and a second MCNR stage. The first MCNR stage includes blending the current frame with either a cached image or a long-term reference image to obtain a fused image. The cached image is loaded from the buffer unit, and the long-term reference image is derived from the static region of each input frame in a sequence of input frames. The second MCNR stage includes blending the fused image with the other of the cached image or the long-term reference image to obtain an output image.
Abstract:
Video decoding device is disclosed. The video decoding device comprises a demultiplexer, a first decoder and a controller. The demultiplexer receives a Transport Stream to recover video Packetized Elementary Stream (PES) to determine a presentation time stamp (PTS) and a decoding time stamp (DTS) in a PES header of the PES. The first decoder retrieves a video frame from the video PES to determine temporal reference of the video frame. The controller receives the PTS, the DTS, and the temporal reference to determine whether there is a missing video frame.
Abstract:
An image processing device is provided. The device includes an electronic image stabilization (EIS) module and an image signal processing (ISP) module. The EIS module is configured to determine EIS information for a video frame based on motion information that corresponds to the video frame, wherein the EIS information is associated with the target region and the margin region of the video frame. The ISP module is configured to generate a processed video frame based on the EIS information by performing an ISP process only on the target region of the video frame and skipping the ISP process on the margin region of the video frame. The EIS module is further configured to generate a stabilized image based on the EIS information and the processed video frame.
Abstract:
A method for high dynamic range imaging is provided. The method includes the following stages. A first image from a first sensor capable of sensing a first spectrum is received. A second image from a second sensor capable of sensing a second spectrum is received. The second spectrum has a higher wavelength range as compared to the first spectrum. A first image feature from the first image and a second image feature from the second image are retrieved. The first and second images are fused by referencing the first image feature and the second image feature to generate a final image.
Abstract:
An electronic apparatus is provided. The electronic apparatus includes a display device, a sensor, and a processor. The display device receives an image data. The display device includes a display panel and displays an image related to the image data on the display panel. A reference image point of the image is displayed on a first location on the display panel. The sensor detects a movement status of the electronic apparatus when the electronic apparatus shakes to generate at least one movement parameter. The processor calculates compensation data according to the at least one movement parameter and size information of the display panel. When the display device receives the compensation data, the display device displays the image by shifting the reference image point of the image from the first location to a second location on the display panel to display according to the compensation data.