Abstract: An image stitching method applied to an image stitching device having at least two image capturing units and an operation processing unit includes acquiring at least two images adjacent by each other, detecting an overlapped region of the two adjacent images, compiling statistics of image information about the overlapped region of the two adjacent images, utilizing the image information to compute a compensation function, and adjusting at least one of the two adjacent images according to the image information to make the image information of the two adjacent images into harmony.

Abstract: An image processing device and a related image compression method are applied to filter the fixed pattern noise of an image. The image compression method includes applying characteristic value calculation to the image along a predetermined direction to generate a series of characteristic values, comparing a pixel matrix of the image with the series of characteristic values, and acquiring a difference matrix according to a comparison result. The foresaid difference matrix can be compressed to indicate as a compression datum of the image.

Abstract: A region-based motion detection method and a related monitoring camera device are applied to detect an object's motion on a frame. The region-based motion detection method includes dividing a current frame into a plurality of first template arrays, dividing a first reference frame into a plurality of second template arrays, acquiring characteristic values of one of the first template arrays and a corresponding second template array, comparing the characteristic value of the foresaid first template array with the characteristic value of the corresponding second template array by matching process, and executing motion detection of the current frame according to a matching result.

Abstract: A video processing method, a video displaying method, and a video processing device are provided. The video processing device performs the video processing method and the video displaying method. The video processing method includes the following steps. First, receive a full frame according to a global frame rate. Then, according to a first local frame rate different from the global frame rate, determine whether to capture a first local frame from the global frame. Finally, combine the first local frame and the global frame to generate a synthesized frame. The video processing method, the video displaying method and the video processing device produce better quality and smaller file size of image data.

Abstract: A sound source monitoring system includes a sound receiving module, a sound detection module, a sound source localization module, and a camera module. The sound receiving module is configured to receive a plurality of sound signals. The sound detection module is for dividing an integrated signal formed by adding the sound signals received by the sound receiving module and normalizing the sum of the sound signals or dividing each of the sound signals into a plurality of sub-bands, calculating a signal-to-noise ratio (SNR) of each sub-band and a background noise, and accordingly determining whether to output the sound signals received by the sound receiving module to the sound source localization module. The sound source localization module is for outputting a sound source location by using the sound signals received by the sound receiving module. The camera module is for shooting an image corresponding to the sound source location.

Abstract: A video processing method, a video displaying method, and a video processing device are provided. The video processing device performs the video processing method and the video displaying method. The video processing method includes the following steps. First, receive a full frame according to a global frame rate. Then, according to a first local frame rate different from the global frame rate, determine whether to capture a first local frame from the global frame. Finally, combine the first local frame and the global frame to generate a synthesized frame. The video processing method, the video displaying method and the video processing device produce better quality and smaller file size of image data.

Abstract: A particle filter is suitable for performing particle filtering on a frame to track a particular object in the frame. The particle filter includes a frame cache, an observation model generator, and a particle filter controller. The frame cache is connected to a system memory through a system bus, in which the system memory stores all image blocks of the frame; and the frame cache obtains the at least one image block of the frame from the system memory and stores the obtained image block. The observation model generator reads at least one pixel from the frame cache, and generates an observation model corresponding to the object and the read image block according to the read pixel. The particle filter controller obtains the observation model from the observation model generator, and determines and outputs an object tracking result of the object according to the observation model.

Abstract: A method and an electronic device for reducing digital image noises are described. The method includes the steps of sequentially selecting a pixel from a digital image, and setting the pixel as a target pixel; defining a first area, and setting at least two of the rest pixels surrounding the target pixel in the first area as adjacent pixels; setting a first weighted area; setting a second weighted area corresponding to the first weighted area; computing a weight of the adjacent pixel located at a center position of the second weighted area by using a piecewise linear curve according to a similarity value of the first weighted area and the second weighted area; computing a weighted average of all the adjacent pixels and the target pixel, to determine a new value of the target pixel; and performing the above steps repeatedly, till all the pixels are processed.

Abstract: A hybrid connected component labeling process for analyzing digitized or binary images includes the following steps. Firstly, a forward scan is executed to assign a forward label to each foreground pixel in the image. Then, a backward scan is executed to assign a backward label to each foreground. The backward labels are rearranged and label connection is recorded. A label allocation table including final labels and reference labels is provided for recording the use of the labels. When an object is considered as noise, the label corresponds to the pixels of the object is released by updating the label allocation table.

Abstract: A method and an electronic device for reducing digital image noises are described. The method includes the steps of sequentially selecting a pixel from a digital image, and setting the pixel as a target pixel; defining a first area, and setting at least two of the rest pixels surrounding the target pixel in the first area as adjacent pixels; setting a first weighted area; setting a second weighted area corresponding to the first weighted area; computing a weight of the adjacent pixel located at a center position of the second weighted area by using a piecewise linear curve according to a similarity value of the first weighted area and the second weighted area; computing a weighted average of all the adjacent pixels and the target pixel, to determine a new value of the target pixel; and performing the above steps repeatedly, till all the pixels are processed.

Abstract: A video coding system and circuit emphasizing visual perception are presented, which mainly include a video coding module and a video analysis module. A video frame is respectively input into the video coding module and the video analysis module. The video coding module performs a coding process on the input video frame, the video analysis module analyzes the input video frame to generate a quantization parameter adjustment value, and then the video coding module adjusts each coding parameter with the quantization parameter adjustment value. In this manner, a more efficient compression can be performed on the video frame, and the compressed video frame still maintains good image quality.

Abstract: An exposure control method adjusts an exposure setting used for capturing an image including a foreground object and a background. The foreground object is extracted from the image by an object detection procedure. If the area of the foreground object is greater than a predetermined area value, the brightness of both the foreground object and the background is analyzed. On the contrary, if the area of the foreground object is not greater than the predetermined area value, only the brightness of the background is analyzed. The exposure setting is adjusted according to the analysis result. Accordingly, greater brightness stability is provided during the capture of the following images.