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    • 1. 发明授权
    • Image processing of image data
    • 图像数据的图像处理
    • US07576781B2
    • 2009-08-18
    • US10752381
    • 2004-01-05
    • Toshie ImaiYoshihiro Nakami
    • Toshie ImaiYoshihiro Nakami
    • H04N5/28H04N5/76
    • H04N1/00278H04N1/32128H04N2201/0084H04N2201/3242H04N2201/3252
    • Image processing apparatus 10 analyzes image data to acquire picture quality characteristic values, and uses shooting information SI and image processing control information GI associated with the image data to define a scene correction condition and an arbitrary correction condition. The image processing apparatus 10 preferentially uses information from the image processing control information GI, while using [information] from the shooting information SI where this information is not present in the image processing control information GI, with the aim of effective mutual utilization of image processing control information GI and shooting information SI. The image processing apparatus 10 defines an automatic correction level AP on the basis of the acquired picture quality characteristic values, scene correction condition and arbitrary correction condition, and defines a manual correction level MP on the basis of a manual correction condition in the image processing control information GI. Utilizing the automatic correction level AP and manual correction level MP, the image processing apparatus 10 executes a picture quality adjustment process to correct the image data.
    • 图像处理装置10分析图像数据以获取图像质量特征值,并且使用与图像数据相关联的拍摄信息SI和图像处理控制信息GI来定义场景校正条件和任意校正条件。 图像处理装置10优先使用来自图像处理控制信息GI的信息,同时使用来自图像处理控制信息GI中不存在该信息的拍摄信息SI的[信息],目的是有效地相互利用图像处理 控制信息GI和拍摄信息SI。 图像处理装置10基于所获取的图像质量特性值,场景校正条件和任意校正条件来定义自动校正水平AP,并且基于图像处理控制中的手动校正条件来定义手动校正水平MP 信息GI。 利用自动校正级AP和手动校正级MP,图像处理装置10执行图像质量调整处理以校正图像数据。
    • 3. 发明申请
    • Determination of portrait against back light
    • 确定肖像对背光
    • US20090263046A1
    • 2009-10-22
    • US12456405
    • 2009-06-15
    • Toshie Imai
    • Toshie Imai
    • G06K9/36
    • H04N1/6086G06T7/90G06T2207/30201
    • A CPU 200 compares a luminance distribution characteristic of image data with a reference luminance distribution characteristic, and then confirms that the image data GD is a backlit portrait image data if similarity degree Sv between the luminance distribution characteristic of image data and the reference luminance distribution characteristic is larger than reference similarity degree Svref. The CPU 200 determines whether an outer dark portion ratio Do is larger than a reference dark portion ratio Doref. If the CPU 200 determines that the outer dark portion ratio Do is larger than the reference dark portion ratio Doref, then it determines whether an outer bright portion ratio Bo is larger than a reference bright portion ratio Boref. If the CPU 200 determines that the outer bright portion ratio Bo is larger than a reference bright portion ratio Boref, then it determines that the image data GD is image data of backlit portrait image.
    • CPU200将图像数据的亮度分布特性与参考亮度分布特性进行比较,然后如果图像数据的亮度分布特性和参考亮度分布特性之间的相似度Sv相似,则确认图像数据GD是背光肖像图像数据 大于参考相似度Svref。 CPU 200确定外部暗部比例Do是否大于参考暗部比率Doref。 如果CPU 200确定外部暗部比例Do大于参考暗部比Doref,则判定外部亮部比率Bo是否大于基准亮部比率Boref。 如果CPU 200确定外部明亮部分比率Bo大于参考亮度部分比率Boref,则其确定图像数据GD是背光肖像图像的图像数据。
    • 8. 发明授权
    • Determination of portrait against back light
    • 确定肖像对背光
    • US07929763B2
    • 2011-04-19
    • US12456405
    • 2009-06-15
    • Toshie Imai
    • Toshie Imai
    • G06K9/00
    • H04N1/6086G06T7/90G06T2207/30201
    • A CPU 200 compares a luminance distribution characteristic of image data with a reference luminance distribution characteristic, and then confirms that the image data GD is a backlit portrait image data if similarity degree Sv between the luminance distribution characteristic of image data and the reference luminance distribution characteristic is larger than reference similarity degree Svref. The CPU 200 determines whether an outer dark portion ratio Do is larger than a reference dark portion ratio Doref. If the CPU 200 determines that the outer dark portion ratio Do is larger than the reference dark portion ratio Doref, then it determines whether an outer bright portion ratio Bo is larger than a reference bright portion ratio Boref. If the CPU 200 determines that the outer bright portion ratio Bo is larger than a reference bright portion ratio Boref, then it determines that the image data GD is image data of backlit portrait image.
    • CPU200将图像数据的亮度分布特性与参考亮度分布特性进行比较,然后如果图像数据的亮度分布特性和参考亮度分布特性之间的相似度Sv相似,则确认图像数据GD是背光肖像图像数据 大于参考相似度Svref。 CPU 200确定外部暗部比例Do是否大于参考暗部比率Doref。 如果CPU 200确定外部暗部比例Do大于参考暗部比Doref,则判定外部亮部比率Bo是否大于基准亮部比率Boref。 如果CPU 200确定外部明亮部分比率Bo大于参考亮度部分比率Boref,则其确定图像数据GD是背光肖像图像的图像数据。
    • 9. 发明授权
    • Backlit image judgment
    • 背光图像判断
    • US07570836B2
    • 2009-08-04
    • US10909069
    • 2004-07-29
    • Toshie Imai
    • Toshie Imai
    • G06K9/40
    • G06T7/0002G06T2207/30168
    • A CPU 200 analyzes inner region pixels IP and outer region pixels OP independently; compares an inner luminance distribution characteristic i.e. a luminance distribution characteristic regarding the inner region pixels IP with a reference inner luminance distribution characteristic regarding image data of a backlit image that is previously stored in a HDD 202; and thereby calculates an inner similarity Si. Similarity, the CPU 200 compares an outer luminance distribution characteristic i.e. a luminance distribution characteristic regarding the outer region pixels OP with a reference outer luminance distribution characteristic, and thereby calculates an outer similarity So. The CPU 200 then calculates a total similarity St by multiplying the calculated inner similarity Si by the outer similarity So. If the total similarity St is greater than a criterion similarity Stref, the CPU 200 judges the shot image to be a backlit image.
    • CPU 200独立地分析内部区域像素IP和外部区域像素OP; 将内部亮度分布特性,即关于内部区域像素IP的亮度分布特性与关于先前存储在HDD 202中的背光图像的图像数据的参考内部亮度分布特性进行比较; 从而计算内部相似度Si。 相似度,CPU200将外部亮度分布特性即外部区域像素OP的亮度分布特性与基准外部亮度分布特性进行比较,从而计算外部相似度So。 然后,CPU200通过将计算的内部相似度Si乘以外部相似度S来计算总相似度St。 如果总相似度St大于标准相似度Stref,则CPU200判断拍摄图像为背光图像。