摘要:
Disclosed herein is an apparatus and method for balancing the color of a flashed image using depth estimation. The apparatus includes a depth value measurement unit, a region identification unit, a color impression estimation unit, and a color balancing unit. The depth value measurement unit measures the depth values of the respective regions of an image to be captured using a camera preview image. The region identification unit identifies the regions of the preview image as a region influenced by camera flash or a region not influenced by camera flash using the depth values measured by the depth value measurement unit. The color impression estimation unit estimates the color impression of actual illumination in the region not influenced by camera flash. The color balancing unit corrects the color of the region influenced by camera flash.
摘要:
A method and an apparatus for performing handover in a mobile communication network are provided. The method of performing handover in a mobile communication network includes: obtaining a service providing time period and a utility function on a candidate network basis; obtaining a selection function of each of the candidate networks using the utility function and the service providing time period; and selecting a network for handover among the plurality of mobile networks using the selection function. Therefore, in consideration of user satisfaction and a network service quality, utility functions are defined and by selecting a network for handover using the utility functions, a network suitable for a user environment can be effectively selected and thus it is possible to perform handover that has a performance and a cost suitable for user request and that can maximize a quality of a mobile service.
摘要:
Disclosed herein is a method of performing robust white balance. The method includes a first process of dividing an input image into blocks, a second process of selecting blocks having higher color errors, and calculating average RGB values of the selected blocks, a third process of selecting a specific top percentage of bright blocks, and calculating the average RGB values of these selected blocks, a fourth process of calculating average RGB values through color clustering, a fifth process of converting the average RGB values into CIE xyY color space, a sixth process of calculating the Euclidean distances between the x and y values of standard light sources in a color space and the x and y values of the average RGB values in CIE xyY color space, and selecting an average RGB value having the shortest Euclidean distance (Ed), and a seventh process of calculating white balance gain values using the selected average RGB value, and correcting the input image using the balance gain values.