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    • 2. 发明授权
    • System and method for blending images into a single image
    • 将图像混合成单个图像的系统和方法
    • US07813589B2
    • 2010-10-12
    • US10814302
    • 2004-04-01
    • D. Amnon SilversteinYining Deng
    • D. Amnon SilversteinYining Deng
    • G06K9/36G09G5/00
    • G06T3/40G06T3/00G06T5/50
    • A method and system for blending images into a single image. Initially two images of a view are selected, wherein the images have overlapping content of the view. The images can differ from each other in such characteristics as time, camera location, camera settings, and lighting. The images are divided into strips along a common plane in a region of each image where the images overlap. A strip from each image is selected where the images are a close match. Pixel by pixel difference values between the two strips are calculated, and a cut line is determined where the differences between the two strips are minimized. Each image is cut along the corresponding cut line, and the cut images are blended together to form a single image of the view. The blended single image can be further processed by warping the image along the cut line to provide for a smoother fit between the two images.
    • 将图像混合成单个图像的方法和系统。 最初选择视图的两个图像,其中图像具有视图的重叠内容。 在时间,相机位置,相机设置和照明等特性中,图像可能彼此不同。 在图像重叠的每个图像的区域中,图像沿共同平面分割成条带。 选择每个图像的条带,其中图像是紧密匹配的。 计算两个条带之间的像素差值,并且确定两条条之间的差异最小化的切割线。 每个图像沿着相应的切割线切割,并且将切割的图像混合在一起以形成视图的单个图像。 可以通过沿着切割线弯曲图像来进一步处理混合的单个图像,以提供两个图像之间更平滑的配合。
    • 3. 发明授权
    • System and method for blending images
    • 用于混合图像的系统和方法
    • US07450137B2
    • 2008-11-11
    • US11060918
    • 2005-02-18
    • Yining DengD. Amnon Silverstein
    • Yining DengD. Amnon Silverstein
    • G09G5/00
    • G06F3/1446G09G2300/026G09G2310/0232G09G2340/10G09G2360/16H04N5/2624
    • A method of blending a pair of images, each image comprising a plurality of pixels having an intensity. A blending edge is determined for each image, each blending edge comprising at least one group of pixels, with each pixel at a pixel position, and an average intensity of pixels of the blending edges is determined at each pixel position. The method includes determining a scaling factor based on a relationship between the average intensity and the intensity of the pixel of the at least one group of pixels of the blending edge at each pixel position of each image. A blending area is determined for each image, each blending area comprising at least one group of pixels having a pixel at each of the pixel positions. The intensity of the pixel at each pixel position of the at least one group of pixels of the blending area of each image is scaled with the corresponding scaling factor.
    • 一种混合一对图像的方法,每个图像包括具有强度的多个像素。 为每个图像确定混合边缘,每个混合边缘包括至少一组像素,每个像素在像素位置处,并且在每个像素位置处确定混合边缘的平均像素强度。 该方法包括基于每个图像的每个像素位置处的混合边缘的至少一组像素的像素的平均强度和强度之间的关系来确定缩放因子。 为每个图像确定混合区域,每个混合区域包括在每个像素位置处具有像素的至少一组像素。 每个图像的混合区域的至少一组像素的每个像素位置处的像素的强度用相应的缩放因子缩放。
    • 4. 发明授权
    • System and method of aligning images
    • 系统和图像对齐方法
    • US07756358B2
    • 2010-07-13
    • US11000660
    • 2004-11-30
    • Yining DengD. Amnon Silverstein
    • Yining DengD. Amnon Silverstein
    • G06K9/32
    • G06T3/0075G06T7/30G06T2207/20016
    • A method performed by a processing system. The method includes receiving a sequence of frames, each frame comprising a sequence of at least two images, each image at a different image position in the sequence and each pair of adjacent images having an overlap region. A local alignment value is determined for the images of each pair of adjacent image positions of each frame based on minimizing a difference of a desired parameter between the images in the overlap region. Global alignment values are determined for all images at corresponding pairs of adjacent image positions of each frame based on the local alignment values for the images at the corresponding pair of adjacent image positions of each frame. Each global alignment value is applied to at least one image of the images of the corresponding pair of adjacent image positions of each frame.
    • 一种由处理系统执行的方法。 该方法包括接收帧序列,每个帧包括至少两个图像的序列,序列中不同图像位置处的每个图像和每对相邻图像具有重叠区域。 基于最小化重叠区域中的图像之间的期望参数的差异,确定每帧的每对相邻图像位置的图像的局部对准值。 基于每个帧的相应对相邻图像位置对上的图像的局部对准值,为每帧的相应对的相邻图像位置的所有图像确定全局对准值。 每个全局对准值被应用于每帧相应的一对相邻图像位置的图像的至少一个图像。
    • 5. 发明申请
    • System and method of aligning images
    • 系统和图像对齐方法
    • US20060115181A1
    • 2006-06-01
    • US11000660
    • 2004-11-30
    • Yining DengD. Amnon Silverstein
    • Yining DengD. Amnon Silverstein
    • G06K9/36
    • G06T3/0075G06T7/30G06T2207/20016
    • A method performed by a processing system. The method includes receiving a sequence of frames, each frame comprising a sequence of at least two images, each image at a different image position in the sequence and each pair of adjacent images having an overlap region. A local alignment value is determined for the images of each pair of adjacent image positions of each frame based on minimizing a difference of a desired parameter between the images in the overlap region. Global alignment values are determined for all images at corresponding pairs of adjacent image positions of each frame based on the local alignment values for the images at the corresponding pair of adjacent image positions of each frame. Each global alignment value is applied to at least one image of the images of the corresponding pair of adjacent image positions of each frame.
    • 一种由处理系统执行的方法。 该方法包括接收帧序列,每个帧包括至少两个图像的序列,序列中不同图像位置处的每个图像和每对相邻图像具有重叠区域。 基于最小化重叠区域中的图像之间的期望参数的差异,确定每帧的每对相邻图像位置的图像的局部对准值。 基于每个帧的相应对相邻图像位置对上的图像的局部对准值,为每帧的相应对的相邻图像位置的所有图像确定全局对准值。 每个全局对准值被应用于每帧相应的一对相邻图像位置的图像的至少一个图像。
    • 9. 发明申请
    • System and method for blending images
    • 用于混合图像的系统和方法
    • US20060187234A1
    • 2006-08-24
    • US11060918
    • 2005-02-18
    • Yining DengD. Silverstein
    • Yining DengD. Silverstein
    • G09G5/02
    • G06F3/1446G09G2300/026G09G2310/0232G09G2340/10G09G2360/16H04N5/2624
    • A method of blending a pair of images, each image comprising a plurality of pixels having an intensity. A blending edge is determined for each image, each blending edge comprising at least one group of pixels, with each pixel at a pixel position, and an average intensity of pixels of the blending edges is determined at each pixel position. The method includes determining a scaling factor based on a relationship between the average intensity and the intensity of the pixel of the at least one group of pixels of the blending edge at each pixel position of each image. A blending area is determined for each image, each blending area comprising at least one group of pixels having a pixel at each of the pixel positions. The intensity of the pixel at each pixel position of the at least one group of pixels of the blending area of each image is scaled with the corresponding scaling factor.
    • 一种混合一对图像的方法,每个图像包括具有强度的多个像素。 为每个图像确定混合边缘,每个混合边缘包括至少一组像素,每个像素在像素位置处,并且在每个像素位置处确定混合边缘的平均像素强度。 该方法包括基于每个图像的每个像素位置处的混合边缘的至少一组像素的像素的平均强度和强度之间的关系来确定缩放因子。 为每个图像确定混合区域,每个混合区域包括在每个像素位置处具有像素的至少一组像素。 每个图像的混合区域的至少一组像素的每个像素位置处的像素的强度用相应的缩放因子缩放。
    • 10. 发明申请
    • System and method of intensity correction
    • 系统和强度校正方法
    • US20060115182A1
    • 2006-06-01
    • US11001228
    • 2004-11-30
    • Yining DengD. Silverstein
    • Yining DengD. Silverstein
    • G06K9/36
    • G06T5/40G06T5/009G06T2200/32
    • A method of intensity correction of at least two frames, each frame comprising a sequence of at least two images, each image at a different image position in the sequence and each pair of adjacent images having an overlap region. The method includes selecting an image at a same image position in each frame as a reference image. A set of global intensity transformations is determined, one global intensity transformation for all pairs of adjacent images at corresponding pairs of adjacent images positions of all frames, wherein the global intensity transformations are relative to the reference images. Each global intensity transformation is applied to each pixel of one image at each corresponding pair of adjacent image positions.
    • 一种至少两帧的强度校正方法,每帧包括至少两幅图像的序列,该序列中不同图像位置处的每幅图像和每对相邻图像具有重叠区域。 该方法包括在每帧中的相同图像位置选择图像作为参考图像。 确定一组全局强度变换,对于所有帧的相邻相邻图像位置对的所有对相邻图像的一个全局强度变换,其中全局强度变换相对于参考图像。 每个全局强度变换被应用于每个对应的一对相邻图像位置处的一个图像的每个像素。