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    • 33. 发明授权
    • Seam-based reduction and expansion of images with color-weighted priority
    • 具有颜色加权优先权的基于接缝的缩小和扩展图像
    • US08290300B2
    • 2012-10-16
    • US12184060
    • 2008-07-31
    • Shmuel AvidanJen-Chan ChienChintan IntwalaJue Wang
    • Shmuel AvidanJen-Chan ChienChintan IntwalaJue Wang
    • G06K9/32
    • H04N1/3872G06T3/0012H04N1/393
    • A system and method for expansion and reduction of images uses an absolute value associated with each pixel of an input image (e.g., a color and/or intensity value) to determine a respective energy value for each pixel. For example, a given color or range of colors (e.g., skin tones, or other high-priority colors) may be assigned higher energy values than other colors and/or color ranges, and may be protected during image reduction and/or expansion. These energy values may be used to determine a cost associated with various seams of the image, which may represent the priority of the seams in the image. One or more low-cost seams may be identified for removal or replication to produce a resized image. The methods may be used in conjunction with an automated skin tone detector or a user interface that allows selection of one or more high priority colors or color ranges.
    • 用于扩展和缩小图像的系统和方法使用与输入图像的每个像素(例如,颜色和/或强度值)相关联的绝对值来确定每个像素的相应能量值。 例如,给定的颜色或范围的颜色(例如,肤色或其他高优先级颜色)可被赋予比其他颜色和/或颜色范围更高的能量值,并且可以在图像缩小和/或扩展期间被保护。 这些能量值可以用于确定与图像的各种接缝相关联的成本,其可以表示图像中的接缝的优先级。 可以识别一个或多个低成本接缝用于去除或复制以产生调整大小的图像。 所述方法可以与允许选择一个或多个高优先级颜色或颜色范围的自动肤色检测器或用户界面结合使用。
    • 34. 发明授权
    • Seam-based reduction and expansion of images with table-based priority
    • 基于接缝的减少和扩展具有基于表格优先权的图像
    • US08280186B1
    • 2012-10-02
    • US12184039
    • 2008-07-31
    • Shmuel AvidanJen-Chan ChienChintan Intwala
    • Shmuel AvidanJen-Chan ChienChintan Intwala
    • G06K9/32
    • G06T3/0012
    • A system and method for expansion and reduction of images uses a look-up table to define an arbitrary mapping of data (e.g., pixel values) representing an image to respective energy values. Each pixel value may represent an absolute color or intensity value, a difference in color or intensity values, or an average, derivative, minimum, or maximum of two or more pixel values. The energy values may then be used to determine one or more low-cost seams of the image to be removed for an image reduction operation or replicated for an image expansion operation, where the cost of each seam is dependent on the energy values of the pixels of the seam. The look-up table may be used to apply a threshold and/or cap on the energy values mapped to pixel values. The look-up table may also provide a mechanism for reconfiguring mappings, thresholds, and/or caps.
    • 用于扩展和缩小图像的系统和方法使用查找表来将表示图像的数据(例如,像素值)的任意映射定义为各自的能量值。 每个像素值可以表示绝对颜色或强度值,颜色或强度值的差异,或两个或多个像素值的平均,导数,最小值或最大值。 然后可以使用能量值来确定用于图像缩小操作要被去除的图像的一个或多个低成本接缝,或者用于图像展开操作的复制,其中每个接缝的成本取决于像素的能量值 的接缝。 查找表可以用于对映射到像素值的能量值应用阈值和/或上限。 查找表还可以提供用于重新配置映射,阈值和/或上限的机制。
    • 36. 发明授权
    • Non-linear image scaling with seam energy
    • 具有接缝能量的非线性图像缩放
    • US08218900B1
    • 2012-07-10
    • US12183974
    • 2008-07-31
    • Shmuel AvidanJen-Chan ChienChintan Intwala
    • Shmuel AvidanJen-Chan ChienChintan Intwala
    • G06K9/20
    • G06T3/0012
    • A system and method for expansion and reduction of images uses a hybrid resizing technique that combines seam carving and image scaling techniques to reduce or expand an image. Seam carving techniques may be used to identify one or more low-cost seams of an input image, and these low-cost seams may be scaled up or down to expand or reduce the overall input image and produce a resized image. A different scaling factor may be applied to different ones of the low-cost seams, dependent on the average or total energy value of each of the seams. The scaling factor applied to each seam may be dependent on the number of low-cost seams identified for scaling, which may be configurable by a user. A configurable look-up table may map seam costs to scaling factors, and may be accessed to determine a respective scaling factor to be applied to each identified seam.
    • 用于扩展和缩小图像的系统和方法使用混合尺寸调整技术,其结合了缝合雕刻和图像缩放技术来减少或展开图像。 可以使用接缝雕刻技术来识别输入图像的一个或多个低成本接缝,并且可以将这些低成本接缝放大或缩小,以扩大或缩小整个输入图像并产生调整大小的图像。 取决于每个接缝的平均或总能量值,可以将不同的缩放因子应用于不同的低成本接缝。 应用于每个接缝的缩放因子可以取决于识别用于缩放的低成本接缝的数量,其可以由用户配置。 可配置的查找表可以将接缝成本映射到缩放因子,并且可以被访问以确定要应用于每个识别的接缝的各自的缩放因子。
    • 37. 发明授权
    • Method and apparatus for locating a source point for an image-retouching tool
    • 用于定位图像润饰工具的源点的方法和装置
    • US07471417B1
    • 2008-12-30
    • US11084347
    • 2005-03-17
    • Jen-Chan Chien
    • Jen-Chan Chien
    • H04N1/60
    • H04N1/622
    • One embodiment of the present invention provides a system that automatically locates a source point within an image for an image-retouching tool. During operation, the system receives an image, wherein the image includes a defective area. Next, the system determines visual characteristics for the defective area. The system then searches around the defective area to identify candidate replacements for the defective area, and also determines visual characteristics for the candidate replacements. Next, the system compares visual characteristics of the defective area with visual characteristics for the candidate replacements to select a candidate replacement to be used as the source point from which pixels can be copied by the image-retouching tool. Note that this system not only improves the usability of image-retouching tools, but can also improve the quality of the result.
    • 本发明的一个实施例提供了一种自动定位图像修饰工具的图像内的源点的系统。 在操作期间,系统接收图像,其中图像包括缺陷区域。 接下来,系统确定缺陷区域的视觉特性。 然后,系统在缺陷区域周围搜索以识别缺陷区域的候选替代物,并且还确定候选替代物的视觉特征。 接下来,系统将缺陷区域的视觉特征与候选替换的视觉特征进行比较,以选择要用作可由图像修饰工具从其中复制像素的源点的候选替换。 注意,该系统不仅提高了图像修饰工具的可用性,而且还可以提高结果的质量。
    • 38. 发明申请
    • Universal Front End for Masks, Selections, and Paths
    • 通用前端面具,选择和路径
    • US20080144970A1
    • 2008-06-19
    • US11610285
    • 2006-12-13
    • Gregg D. WilenskyJen-Chan ChienSarah A. Kong
    • Gregg D. WilenskyJen-Chan ChienSarah A. Kong
    • G06K9/20
    • G06T11/60G06K9/48H04L45/50H04L47/10
    • A method, system, and computer-readable storage medium are disclosed for editing a digital image with automatic conversion of region modalities. Input comprising an instruction to perform an operation on a first portion of the digital image may be received. The first portion of the digital image may comprise data defined by a first region modality. The operation may be applicable to data defined by a second region modality. In response to receiving the input, the first portion of the digital image may be automatically converted from the first region modality to the second region modality. The operation may be automatically performed on the converted first portion of the digital image (i.e., as defined by the second region modality).
    • 公开了用于通过区域模态的自动转换来编辑数字图像的方法,系统和计算机可读存储介质。 可以接收包括对数字图像的第一部分执行操作的指令的输入。 数字图像的第一部分可以包括由第一区域模态定义的数据。 该操作可以适用于由第二区域模态定义的数据。 响应于接收到输入,数字图像的第一部分可以自动地从第一区域模式转换到第二区域模态。 可以对数字图像的转换的第一部分(即,由第二区域模态定义)自动执行操作。
    • 39. 发明申请
    • Stable Mask Combination in Digital Image Editing
    • 数字图像编辑中的稳定面具组合
    • US20080143740A1
    • 2008-06-19
    • US11610274
    • 2006-12-13
    • Gregg D. WilenskyJen-Chan Chien
    • Gregg D. WilenskyJen-Chan Chien
    • G09G5/00
    • G06T11/60
    • A method, system, and computer-readable storage medium are disclosed for combining raster image masks in a digital image. A first raster image mask may be generated that comprises a first set of one or more pixels having a first intermediate value for membership in the first raster image mask. A second raster image mask may be generated that comprises the first set of one or more pixels having a second intermediate value for membership in the second raster image mask. The first raster image mask and the second raster image mask may be combined to generate a third raster image mask, wherein a boundary of the third raster image mask is not greater than a combined boundary of the first raster image mask and the second raster image mask.
    • 公开了一种在数字图像中组合光栅图像掩模的方法,系统和计算机可读存储介质。 可以生成第一光栅图像掩模,其包括具有用于第一光栅图像掩模中的隶属关系的第一中间值的一个或多个像素的第一组。 可以生成第二光栅图像掩模,其包括具有第二中间值的第一组一个或多个像素,用于第二光栅图像掩模中的成员资格。 可以组合第一光栅图像掩模和第二光栅图像掩模以产生第三光栅图像掩模,其中第三光栅图像掩模的边界不大于第一光栅图像掩模和第二光栅图像掩模的组合边界 。