首页> 外国专利> Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded

Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded

机译:图像处理设备,图像处理方法,其上记录有图像处理控制程序的介质,图像评估设备,图像评估方法和其上记录有图像评估程序的介质

摘要

A computer calculates an edginess, which is an image variation from a differential value of data for adjacent picture elements, and determines object picture elements by selecting only images with a large variation. As optimum parameters for contrast correction and lightness compensation are calculated from image data for object picture elements, image processing indicators based on object picture elements are determined, and optimum imago processing can be performed automatically. After summing a luminance Distribution for each area of the image, which is a feature amount, while uniformly selecting picture elements, a reevaluation is performed by a weighting determined for each area, and a luminance distribution, strongly influenced by the luminance distribution of the photographed object is thus obtained with uniform sampling. After determining the intensity of this luminance distribution, the image data is converted, and image processing can therefore be performed with optimum intensity while reducing the processing amount.
机译:计算机计算出边缘度,该边缘度是根据相邻像素的数据的微分值的图像变化而来的,并且仅通过选择变化较大的图像来确定对象像素。当从用于对象像素的图像数据计算出用于对比度校正和亮度补偿的最佳参数时,确定基于对象像素的图像处理指标,并且可以自动执行最佳图像处理。在对图像的每个区域的亮度分布(即特征量)求和之后,在均匀选择像素的同时,通过对每个区域确定的加权和亮度分布进行重新评估,该亮度分布受拍摄的亮度分布的影响很大因此,可以通过均匀采样获得目标。在确定该亮度分布的强度之后,图像数据被转换,并且因此可以在减少处理量的同时以最佳强度执行图像处理。

著录项

  • 公开/公告号US8681380B2

    专利类型

  • 公开/公告日2014-03-25

    原文格式PDF

  • 申请/专利权人 SEIKO EPSON CORPORATION;

    申请/专利号US201213719602

  • 发明设计人 NAOKI KUWATA;YOSHIHIRO NAKAMI;

    申请日2012-12-19

  • 分类号H04N1/40;H04N1/38;G06K9/40;

  • 国家 US

  • 入库时间 2022-08-21 16:01:08

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