Abstract: A blood pressure detection device manufactured by a semiconductor process includes a substrate, a microelectromechanical element, a gas-pressure-sensing element, a driving-chip element, an encapsulation layer and a valve layer. The substrate includes inlet apertures. The microelectromechanical element and the gas-pressure-sensing element are stacked and integrally formed on the substrate. The encapsulation layer is encapsulated and positioned on the substrate. A flowing-channel space is formed above the microelectromechanical element and the gas-pressure-sensing element. The encapsulation layer includes an outlet aperture in communication with an airbag. The driving-chip element controls the microelectromechanical element, the gas-pressure-sensing element and valve units to transport gas.

Abstract: A blood pressure device includes a first blood pressure measuring device, a second blood pressure measuring device, and a controller. The first blood pressure measuring device is to be worn on a first position of a wrist so as to obtain a first blood pressure information of the first position. The second blood pressure measuring device is to be worn on a second position of the wrist so as to obtain a second blood pressure information of the second position. The controller is electrically coupled to the first blood pressure measuring device and the second blood pressure measuring device so as to adjust tightness between the expanders and the user's skin, respectively. The controller receives, processes, and calculates a pulse transit time between the first blood pressure information and the second blood pressure information, and the controller obtains at least one blood pressure value based on the pulse transit time.

Abstract: A method includes receiving a device design layout and a scribe line design layout surrounding the device design layout. The device design layout and the scribe line design layout are rotated in different directions. An optical proximity correction (OPC) process is performed on the rotated device design layout and the rotated scribe line design layout. A reticle includes the device design layout and the scribe line design layout is formed after performing the OPC process.

Abstract: In an embodiment, a device includes: an integrated circuit die; an encapsulant at least partially surrounding the integrated circuit die, the encapsulant including fillers having an average diameter; a through via extending through the encapsulant, the through via having a lower portion of a constant width and an upper portion of a continuously decreasing width, a thickness of the upper portion being greater than the average diameter of the fillers; and a redistribution structure including: a dielectric layer on the through via, the encapsulant, and the integrated circuit die; and a metallization pattern having a via portion extending through the dielectric layer and a line portion extending along the dielectric layer, the metallization pattern being electrically coupled to the through via and the integrated circuit die.

Abstract: A manufacturing method of a semiconductor device includes at least the following steps. A sacrificial substrate is provided. An epitaxial layer is formed on the sacrificial substrate. An etch stop layer is formed on the epitaxial layer. Carbon atoms are implanted into the etch stop layer. A capping layer and a device layer are formed on the etch stop layer. A handle substrate is bonded to the device layer. The sacrificial substrate, the epitaxial layer, and the etch stop layer having the carbon atoms are removed from the handle substrate.

Abstract: A semiconductor structure includes a die and a first connector. The first connector is disposed on the die. The first connector includes a first connecting housing, a first connecting element and a first connecting portion. The first connecting element is electrically connected to the die and disposed at a first side of the first connecting housing. The first connecting portion is disposed at a second side different from the first side of the first connecting housing, wherein the first connecting portion is one of a hole and a protrusion with respect to a surface of the second side of the first connecting housing.

Abstract: A method and an image processing apparatus for image-based object feature description are provided. In the method, an object of interest in an input image is detected and a centroid and a direction angle of the object of interest are calculated. Next, a contour of the object of interest is recognized and a distance and a relative angle of each pixel on the contour to the centroid are calculated, in which the relative angle of each pixel is calibrated by using the direction angle. Then, a 360-degree range centered on the centroid is equally divided into multiple angle intervals and the pixels on the contour are separated into multiple groups according to a range covered by each angle interval. Afterwards, a maximum among the distances of the pixels in each group is obtained and used as a feature value of the group. Finally, the feature values of the groups are normalized and collected to form a feature vector that serves as a feature descriptor of the object of interest.

Abstract: A method and an image processing apparatus for image-based object feature description are provided. In the method, an object of interest in an input image is detected and a centroid and a direction angle of the object of interest are calculated. Next, a contour of the object of interest is recognized and a distance and a relative angle of each pixel on the contour to the centroid are calculated, in which the relative angle of each pixel is calibrated by using the direction angle. Then, a 360-degree range centered on the centroid is equally divided into multiple angle intervals and the pixels on the contour are separated into multiple groups according to a range covered by each angle interval. Afterwards, a maximum among the distances of the pixels in each group is obtained and used as a feature value of the group. Finally, the feature values of the groups are normalized and collected to form a feature vector that serves as a feature descriptor of the object of interest.

Abstract: An image dynamic range compression with local contrast enhancement method for an image processing device is provided. The method includes the following steps. A plurality of input pixels of an image including a first input pixel are received, and an input luminance pixel value of each of the input pixels as well as a darkness intensity level of the image are obtained. A filter result of the first input pixel is obtained according to filter computation on the input luminance pixel values; an image-related parameter is obtained according to image-related computation on the darkness intensity level. The image-related parameter, the filter result of the first input pixel, and the input luminance pixel value of the first input pixel are transformed into an output luminance pixel value of the first input pixel according to a non-linear intensity transfer function and a dynamic range compression with local contrast enhancement algorithm.

Abstract: An image dynamic range compression method for an image processing device is provided. The method includes receiving a plurality of input pixels which include a first input pixel, obtaining a luminance pixel value of each of the input pixels, executing a filter execution according to the luminance pixel values of the input pixels to obtain a filter result corresponding to the first input pixel, transforming the filter result into a function result according to a function, and obtaining an output luminance pixel value of the first input pixel according to the luminance pixel value of the first input pixel and a transforming ratio between the function result and the filter result. Accordingly, the method reserves the details in an image and color information, and increases the execution speed.

Abstract: An image dynamic range compression with local contrast enhancement method for an image processing device is provided. The method includes the following steps. A plurality of input pixels of an image including a first input pixel are received, and an input luminance pixel value of each of the input pixels as well as a darkness intensity level of the image are obtained. A filter result of the first input pixel is obtained according to filter computation on the input luminance pixel values; an image-related parameter is obtained according to image-related computation on the darkness intensity level. The image-related parameter, the filter result of the first input pixel, and the input luminance pixel value of the first input pixel are transformed into an output luminance pixel value of the first input pixel according to a non-linear intensity transfer function and a dynamic range compression with local contrast enhancement algorithm.

Abstract: An image dynamic range compression method for an image processing device is provided. The method includes receiving a plurality of input pixels which include a first input pixel, obtaining a luminance pixel value of each of the input pixels, executing a filter execution according to the luminance pixel values of the input pixels to obtain a filter result corresponding to the first input pixel, transforming the filter result into a function result according to a function, and obtaining an output luminance pixel value of the first input pixel according to the luminance pixel value of the first input pixel and a transforming ratio between the function result and the filter result. Accordingly, the method reserves the details in an image and color information, and increases the execution speed.

Abstract: An image processing method includes the following steps. First, noise of a first image is filtered, and the first image is converted to obtain a first luminance signal. Second, a color space converting process is performed upon the first image to obtain a second image. Third, the second image is stored and outputted. Fourth, noise of the second image is filtered, and the second image is converted to obtain a second luminance signal. Fifth, a linear computing is performed to obtain a third image. Sixth, an error compensation is performed upon the third image and the second image, and the third image is outputted. Seventh, the color space converting process is performed to obtain and output a fourth image. The linear computing and the error compensation are performed upon a single image to filter the noise of the images, and thus a load of a system may be decreased.

Abstract: The invention relates to a method and module for regulating color distribution. In this method, a reference point in a first gamut and a second reference point in a second gamut are found, and then the first gamut is converted to the second gamut based on the first and second reference point.

Abstract: An image processing method and an image processing system adapted to processing image information with multiple process pixels are disclosed. The image processing method includes steps of: setting a group of parameters; establishing a luminance lookup table; establishing a chrominance-luminance lookup table; retrieving the image information; determining a format of the image information; and if the format of the image is a first format, utilizing the chrominance-luminance lookup table to generate an adjusted chrominance and a first adjusted luminance corresponding to one of the process pixels; if the format of the image is a second format, utilizing the chrominance-luminance lookup table and the luminance lookup table to generate an adjusted chrominance, a first adjusted luminance, and a second adjusted luminance corresponding to one of the process pixels.

Abstract: The invention relates to a method and module for regulating saturation degree. In this method, a curvature of a special function in all position is regulated by a saturation parameter to obtain a regulated function. A color input signal is assigned as an independent variable of the regulated function to calculate a color output signal corresponding to the color input signal.

Abstract: An image processing method includes the following steps. First, noise of a first image is filtered, and the first image is converted to obtain a luminance signal. Second, the first image is stored and outputted. Third, a color space converting process is performed upon the first image according to the luminance signal to obtain a second image. Fourth, a linear computing is performed upon the second image to obtain a third image. Fifth, the color space converting process is performed according to a third image and the luminance signal to obtain and output a fourth image. Sixth, an error compensation is performed upon the first image and the fourth image, and the fourth image is outputted. Accordingly, a linear operating process and error compensation processing is performed upon the single image to filter the noise of the image, and thus a load of the system is reduced.

Abstract: A nursing system of the present invention can position where a person to be nursed through a sensor network widely deployed in an environment, instantaneously detect if the person to be nursed has an accident, and forward a message to inform a relative or medical staff. An autonomous robot will actively move beside the person to be nursed and transmit real-time images to a remote computer or PDA so that the relative or medical staff can swiftly ascertain the situation of the person to be nursed and the person to be nursed in case of emergency can be rescued as soon as possible.

Abstract: The invention relates to a method and a module for regulating luminance. In this method, a gray-level input signal is received and a power operation is performed on the gray-level input signal by a gamma parameter to obtain a first regulation scale. Then, the gray-level input signal is regulated according to the first regulation scale to obtain a gray-level output signal.

Abstract: An image processing method and an image processing system adapted to processing image information with multiple process pixels are disclosed. The image processing method includes steps of: setting a group of parameters; establishing a luminance lookup table; establishing a chrominance-luminance lookup table; retrieving the image information; determining a format of the image information; and if the format of the image is a first format, utilizing the chrominance-luminance lookup table to generate an adjusted chrominance and a first adjusted luminance corresponding to one of the process pixels; if the format of the image is a second format, utilizing the chrominance-luminance lookup table and the luminance lookup table to generate an adjusted chrominance, a first adjusted luminance, and a second adjusted luminance corresponding to one of the process pixels.