Abstract: An embodiment composite material for semiconductor package mount applications may include a first component including a tin-silver-copper alloy and a second component including a tin-bismuth alloy or a tin-indium alloy. The composite material may form a reflowed bonding material having a room temperature tensile strength in a range from 80 MPa to 100 MPa when subjected to a reflow process. The reflowed bonding material may include a weight fraction of bismuth that is in a range from approximately 4% to approximately 15%. The reflowed bonding material may an alloy that is solid solution strengthened by a presence of bismuth or indium that is dissolved within the reflowed bonding material or a solid solution phase that includes a minor component of bismuth dissolved within a major component of tin. In some embodiments, the reflowed bonding material may include intermetallic compounds formed as precipitates such as Ag3Sn and/or Cu6Sn5.

Abstract: A face image display method applied to an electronic device is provided. The face image display method includes: obtaining a real-time face image, defining a first feature region on the real-time face image, capturing a first feature region image including the first feature region, enlarging the first feature region image into a first output image; and displaying the first output image on a first display area of the display unit.

Abstract: An image processing method applied in an image processing device, which includes an image capturing unit, an image processing unit, an image recognition unit and an exposure adjusting unit, is provided. The image processing method includes the following steps: obtaining a first image by the image capturing unit, generating an average brightness of a dark part of the first image by the image processing unit; recognizing the first image by the image recognition unit; generating a first average brightness of a human face by the image processing unit and generating a first exposure value according to the average brightness of the dark part of the first image, the first average brightness of the human face and a weight array, when the human face is recognized from the first image; and adjusting an exposure of the first image according to the first exposure value by the exposure adjusting unit.

Abstract: A face image display method applied to an electronic device is provided. The face image display method includes: obtaining a real-time face image, defining a first feature region on the real-time face image, capturing a first feature region image including the first feature region, enlarging the first feature region image into a first output image; and displaying the first output image on a first display area of the display unit.

Abstract: An electronic device and a non-transitory computer readable storage medium are provided. After the real-time communication interface is enabled, the source filter obtains the image adjusting parameter when that the source filter is driven is detected. The source filter applies the image adjusting parameter to an image data captured by the image capturing unit, and then the adjusted image data is obtained. The real-time communication interface outputs the adjusted image data.

Abstract: An image processing device includes a camera unit, a control unit, an image processing unit and a storage unit. The camera unit obtains a first image. The control unit coupled to the camera unit adjusts an exposure value of the camera unit to control an average luminance value of the dark part of the first image and a contrast value of the first image. The storage unit is coupled to the control unit. The image processing unit is coupled to the camera unit and the storage unit, and it generates a second image according to the first image and a first algorithm stored in the storage unit, and generates a third image according to the first image and a second algorithm stored in the storage unit. The image processing unit generates a fourth image according to luminance values of the first image, the second image and the third image.

Abstract: An image processing method includes following steps: capturing an image including a human face; executing a face detection in a predetermined area of the image; adjusting an exposure value of the predetermined area to an expected value when the face detection does not recognize the human face; executing the face detection and analyzing an image information in a face area of the image when the exposure value of the predetermined area reaches the expected value; and selecting a model parameter and an image adjusting parameter correspondingly according to the image information, processing the face area of the image, and outputting a processed image to a human face recognition system.

Abstract: An image processing method applied in an image processing device, which includes an image capturing unit, an image processing unit, an image recognition unit and an exposure adjusting unit, is provided. The image processing method includes the following steps: obtaining a first image by the image capturing unit, generating an average brightness of a dark part of the first image by the image processing unit; recognizing the first image by the image recognition unit; generating a first average brightness of a human face by the image processing unit and generating a first exposure value according to the average brightness of the dark part of the first image, the first average brightness of the human face and a weight array, when the human face is recognized from the first image; and adjusting an exposure of the first image according to the first exposure value by the exposure adjusting unit.

Abstract: An image processing device includes a camera unit, a control unit, an image processing unit and a storage unit. The camera unit obtains a first image. The control unit coupled to the camera unit adjusts an exposure value of the camera unit to control an average luminance value of the dark part of the first image and a contrast value of the first image. The storage unit is coupled to the control unit. The image processing unit is coupled to the camera unit and the storage unit, and it generates a second image according to the first image and a first algorithm stored in the storage unit, and generates a third image according to the first image and a second algorithm stored in the storage unit. The image processing unit generates a fourth image according to luminance values of the first image, the second image and the third image.

Abstract: An image processing method includes following steps; capturing an image including a human face; executing a face detection in a predetermined area of the image; adjusting an exposure value of the predetermined area to an expected value when the face detection does not recognize the human face; executing the face detection and analyzing an image information in a face area of the image when the exposure value of the predetermined area reaches the expected value; and selecting a model parameter and an image adjusting parameter correspondingly according to the image information, processing the face area of the image, and outputting a processed image to a human face recognition system.