Panoramic maker engine for a low profile system
    1.
    发明申请
    Panoramic maker engine for a low profile system 有权
    全景制造引擎,用于低调系统

    公开(公告)号:US20050089244A1

    公开(公告)日:2005-04-28

    申请号:US10692446

    申请日:2003-10-22

    摘要: A method for generating a panoramic image includes receiving a first image, dividing the first image into a first portion and a second portion, rotating the first portion of the first image, saving the rotated first portion of the first image in a nonvolatile memory, receiving a second image, dividing the second image into a third portion and a fourth portion, matching an overlapping region between the second portion of the first image and the third portion of the second image, stitching the second portion of the first image and the third portion of the second image to form a first stitched image, rotating the first stitched image, and saving the first stitched image in the nonvolatile memory.

    摘要翻译: 一种用于产生全景图像的方法包括接收第一图像,将第一图像划分为第一部分和第二部分,旋转第一图像的第一部分,将第一图像的旋转的第一部分保存在非易失性存储器中,接收 第二图像,将第二图像分割成第三部分和第四部分,匹配第一图像的第二部分与第二图像的第三部分之间的重叠区域,缝合第一图像的第二部分和第三部分 以形成第一缝合图像,旋转第一缝合图像,并将第一缝合图像保存在非易失性存储器中。

    Panoramic maker engine for a low profile system
    2.
    发明授权
    Panoramic maker engine for a low profile system 有权
    全景制造引擎,用于低调系统

    公开(公告)号:US07409105B2

    公开(公告)日:2008-08-05

    申请号:US10692446

    申请日:2003-10-22

    IPC分类号: G06K9/36

    摘要: A method for generating a panoramic image includes receiving a first image, dividing the first image into a first portion and a second portion, rotating the first portion of the first image, saving the rotated first portion of the first image in a nonvolatile memory, receiving a second image, dividing the second image into a third portion and a fourth portion, matching an overlapping region between the second portion of the first image and the third portion of the second image, stitching the second portion of the first image and the third portion of the second image to form a first stitched image, rotating the first stitched image, and saving the first stitched image in the nonvolatile memory.

    摘要翻译: 一种用于产生全景图像的方法包括接收第一图像,将第一图像划分为第一部分和第二部分,旋转第一图像的第一部分,将第一图像的旋转的第一部分保存在非易失性存储器中,接收 第二图像,将第二图像分割成第三部分和第四部分,匹配第一图像的第二部分与第二图像的第三部分之间的重叠区域,缝合第一图像的第二部分和第三部分 以形成第一缝合图像,旋转第一缝合图像,并将第一缝合图像保存在非易失性存储器中。

    Slow motion processing of digital video data
    3.
    发明申请
    Slow motion processing of digital video data 审中-公开
    数字视频数据的慢动作处理

    公开(公告)号:US20050162565A1

    公开(公告)日:2005-07-28

    申请号:US10748371

    申请日:2003-12-29

    CPC分类号: H04N5/145 H04N7/014

    摘要: A method includes (1) generating a first image pyramid of a first image, (2) generating a second image pyramid of a second image, (3) warping a first level image of the first image pyramid with a motion field, (4) determining a residual motion field from the warped first level image of the first image pyramid and a corresponding first level image of the second image pyramid, and (5) if the residual motion field is not less than a threshold, adding the residual motion field to the motion field and repeating steps (3) and (4).

    摘要翻译: 一种方法包括:(1)产生第一图像的第一图像金字塔;(2)生成第二图像的第二图像金字塔;(3)用运动场对第一图像金字塔的第一级图像进行翘曲;(4) 从所述第一图像金字塔的翘曲的第一级图像和所述第二图像金字塔的对应的第一级图像确定残余运动场,以及(5)如果所述残留运动场不小于阈值,则将所述残留运动场加到 运动场和重复步骤(3)和(4)。

    Edge based alignment algorithm
    4.
    发明申请
    Edge based alignment algorithm 有权
    边缘对齐算法

    公开(公告)号:US20050063610A1

    公开(公告)日:2005-03-24

    申请号:US10666691

    申请日:2003-09-18

    CPC分类号: G06T7/13 G06T7/32 G06T2200/32

    摘要: A method for aligning images includes (1) selecting a pair of overlapping pixels when two second image are aligned with a camera motion; (2) if both pixels are edge pixels, incrementing a correlation value between the two images for the camera motion; (3) if only one of pixels is an edge pixel, decrementing the correlation value between the two images for the camera motion; (4) repeating steps (1) to (3) for other pairs of overlapping pixels in the two images to determine the correlation value for the camera motion. The method further includes (5) repeating steps (1) to (4) for other camera motions; (6) selecting camera motions having large correlation values; (7) determining matched edge counts for members of the group; (8) selecting the camera motion with the largest matched edge count; and (8) aligning the two images with the selected camera motion.

    摘要翻译: 用于对准图像的方法包括(1)当两个第二图像与相机运动对准时,选择一对重叠像素; (2)如果两个像素都是边缘像素,则增加相机运动的两个图像之间的相关值; (3)如果像素中只有一个是边缘像素,则减少相机运动的两个图像之间的相关值; (4)对于两个图像中的其他重叠像素对重复步骤(1)至(3),以确定相机运动的相关值。 该方法还包括(5)对于其他相机运动重复步骤(1)至(4); (6)选择具有较大相关值的相机运动; (7)确定组成员的匹配边数; (8)选择具有最大匹配边缘数的相机运动; 和(8)使两个图像与选择的相机运动对准。

    JPEG Processing Engine for Low Profile Systems
    5.
    发明申请
    JPEG Processing Engine for Low Profile Systems 有权
    用于薄型系统的JPEG处理引擎

    公开(公告)号:US20080205782A1

    公开(公告)日:2008-08-28

    申请号:US12113866

    申请日:2008-05-01

    IPC分类号: G06K9/52

    摘要: A method is provided for processing minimum coded units (MCUs) in a Joint Photographic Expert Group (JPEG) bit stream representing an image. A data structure is generated for storing MCU block numbers, corresponding MCU block coordinates, and corresponding MCU block editing lists. When an editing operation to the image is received, the editing operation is saved to a group of the MCU block editing lists of a group of the MCUs affected by the editing operation. Later the MCUs are retrieved from the JPEG bit stream one at a time and then processed according to the editing operations in the corresponding MCU blocking editing lists.

    摘要翻译: 提供一种用于处理表示图像的联合图像专家组(JPEG)比特流中的最小编码单元(MCU)的方法。 生成数据结构,用于存储MCU块号,相应的MCU块坐标以及相应的MCU块编辑列表。 当接收到对图像的编辑操作时,编辑操作被保存到受编辑操作影响的一组MCU的MCU块编辑列表的组中。 之后,一次一个地从JPEG位流检索MCU,然后根据相应的MCU阻塞编辑列表中的编辑操作进行处理。

    JPEG processing engine for low profile systems
    6.
    发明授权
    JPEG processing engine for low profile systems 有权
    用于低调系统的JPEG处理引擎

    公开(公告)号:US07668385B2

    公开(公告)日:2010-02-23

    申请号:US12113866

    申请日:2008-05-01

    IPC分类号: G06K9/36

    摘要: A method is provided for processing minimum coded units (MCUs) in a Joint Photographic Expert Group (JPEG) bit stream representing an image. A data structure is generated for storing MCU block numbers, corresponding MCU block coordinates, and corresponding MCU block editing lists. When an editing operation to the image is received, the editing operation is saved to a group of the MCU block editing lists of a group of the MCUs affected by the editing operation. Later the MCUs are retrieved from the JPEG bit stream one at a time and then processed according to the editing operations in the corresponding MCU blocking editing lists.

    摘要翻译: 提供一种用于处理表示图像的联合图像专家组(JPEG)比特流中的最小编码单元(MCU)的方法。 生成数据结构,用于存储MCU块号,相应的MCU块坐标以及相应的MCU块编辑列表。 当接收到对图像的编辑操作时,编辑操作被保存到受编辑操作影响的一组MCU的MCU块编辑列表的组中。 之后,一次一个地从JPEG位流检索MCU,然后根据相应的MCU阻塞编辑列表中的编辑操作进行处理。

    Enhanced automatic red eye removal
    7.
    发明申请
    Enhanced automatic red eye removal 有权
    增强自动红眼消除

    公开(公告)号:US20060072815A1

    公开(公告)日:2006-04-06

    申请号:US10958884

    申请日:2004-10-04

    IPC分类号: G06K9/00 G06K9/40 G06K9/62

    摘要: A method for removing red eyes includes (1) identifying potential red eye pixels in a low resolution image (hereafter “LR red eye pixels”), (2) grouping contiguous LR red eye pixels into red eye regions (herafter “LR red eye regions”); determining working areas around the LR red eye regions (hereafter “LR working areas”), (3) determining classifiers from the LR working areas, (4) retrieving working areas from a high resolution image that correspond to the LR working areas (hereafter “HR working areas”), (5) applying the classifiers to the HR working areas to identify potential red eye pixels (hereafter “HR red eye pixels”), (6) grouping contiguous HR red eye pixels into red eye regions (hereafter “HR red eye regions”), (7) determining some of the HR red eye regions as the red eyes, and (8) replacing the HR red eye pixels in the red eyes with black pixels.

    摘要翻译: 一种用于去除红眼的方法包括:(1)识别低分辨率图像中的潜在红眼像素(以下称为“LR红眼像素”),(2)将相邻LR红眼像素分组为红眼区域(“后红” “); 确定LR红眼区周围的工作区域(以下简称“LR工作区”),(3)从LR工作区域确定分类器,(4)从对应于LR工作区域的高分辨率图像检索工作区域(以下称“ HR工作区域“),(5)将分类器应用于HR工作区域以识别潜在的红眼像素(以下称为”HR红眼像素“),(6)将连续HR红眼像素分组为红眼区域(以下称为”HR 红眼区域“),(7)将红色眼睛区域中的一部分确定为红眼,(8)用黑色像素代替红眼中的红外红外像素。

    Enhanced automatic red eye removal
    8.
    发明授权
    Enhanced automatic red eye removal 有权
    增强自动红眼消除

    公开(公告)号:US07403654B2

    公开(公告)日:2008-07-22

    申请号:US10958884

    申请日:2004-10-04

    IPC分类号: G06K9/00

    摘要: A method for removing red eyes includes (1) identifying potential red eye pixels in a low resolution image (hereafter “LR red eye pixels”), (2) grouping contiguous LR red eye pixels into red eye regions (herafter “LR red eye regions”), (3) determining working areas around the LR red eye regions (hereafter “LR working areas”), (4) determining classifiers from the LR working areas, (5) retrieving working areas from a high resolution image that correspond to the LR working areas (hereafter “HR working areas”), (6) applying the classifiers to the HR working areas to identify potential red eye pixels (hereafter “HR red eye pixels”), (7) grouping contiguous HR red eye pixels into red eye regions (hereafter “HR red eye regions”), (8) determining some of the HR red eye regions as the red eyes, and (9) replacing the HR red eye pixels in the red eyes with black pixels.

    摘要翻译: 一种用于去除红眼的方法包括:(1)识别低分辨率图像中的潜在红眼像素(以下称为“LR红眼像素”),(2)将相邻LR红眼像素分组为红眼区域(“后红” “),(3)确定LR红眼区周围的工作区域(以下称”LR工作区“),(4)确定LR工作区域的分类器,(5)从对应于 LR工作区域(以下称为“HR工作区域”),(6)将分类器应用于HR工作区域,以识别潜在的红眼像素(以下称为“HR红眼像素”),(7)将连续的HR红眼像素分组为红色 眼睛区域(以下称为“HR红眼区域”),(8)将红色眼睛区域中的一些确定为红色眼睛,(9)用黑色像素代替红色眼睛中的HR红眼像素。

    JPEG processing engine for low profile systems
    9.
    发明申请
    JPEG processing engine for low profile systems 有权
    用于低调系统的JPEG处理引擎

    公开(公告)号:US20050063597A1

    公开(公告)日:2005-03-24

    申请号:US10666692

    申请日:2003-09-18

    IPC分类号: G06K9/36 H04N7/26 H04N7/30

    摘要: A method for indexing minimum coded units (MCUs) in a Joint Photographic Expert Group (JPEG) bit stream includes (1) entropy decoding a first MCU to determine a bit offset of a second MCU and a DC coefficient of the first MCU, wherein the first MCU immediately precedes the second MCU in the bit stream, and (2) indexing the second MCU by storing the bit offset and the DC coefficient in an index. The method may further include (3) receiving a request for the second MCU, (4) reading the index to determine the bit offset of the second MCU and the DC coefficient of the first MCU, and (5) entropy decoding the second MCU starting at its bit offset in the bit stream, wherein the entropy decoding the second MCU includes determining a DC coefficient of the second MCU using the DC coefficient of the first MCU.

    摘要翻译: 在联合图像专家组(JPEG)比特流中对索引最小编码单元(MCU)进行索引的方法包括:(1)熵解码第一MCU以确定第二MCU的位偏移和第一MCU的DC系数,其中 第一个MCU紧接在比特流中的第二个MCU之前,和(2)通过将索引中的位偏移和DC系数存储来对第二个MCU进行索引。 该方法还可以包括(3)接收对第二MCU的请求,(4)读取索引以确定第二MCU的位偏移和第一MCU的DC系数,以及(5)第二个MCU的熵解码开始 在位流中的位偏移处,其中对第二MCU进行熵解码包括使用第一MCU的DC系数来确定第二MCU的DC系数。

    JPEG processing engine for low profile systems
    10.
    发明授权
    JPEG processing engine for low profile systems 有权
    用于低调系统的JPEG处理引擎

    公开(公告)号:US07391913B2

    公开(公告)日:2008-06-24

    申请号:US10666692

    申请日:2003-09-18

    IPC分类号: G06K9/36 G06K9/46

    摘要: A method for indexing minimum coded units (MCUs) in a Joint Photographic Expert Group (JPEG) bit stream includes (1) entropy decoding a first MCU to determine a bit offset of a second MCU and a DC coefficient of the first MCU, wherein the first MCU immediately precedes the second MCU in the bit stream, and (2) indexing the second MCU by storing the bit offset and the DC coefficient in an index. The method may further include (3) receiving a request for the second MCU, (4) reading the index to determine the bit offset of the second MCU and the DC coefficient of the first MCU, and (5) entropy decoding the second MCU starting at its bit offset in the bit stream, wherein the entropy decoding the second MCU includes determining a DC coefficient of the second MCU using the DC coefficient of the first MCU.

    摘要翻译: 在联合图像专家组(JPEG)比特流中对索引最小编码单元(MCU)进行索引的方法包括:(1)熵解码第一MCU以确定第二MCU的位偏移和第一MCU的DC系数,其中 第一个MCU紧接在比特流中的第二个MCU之前,和(2)通过将索引中的位偏移和DC系数存储来对第二个MCU进行索引。 该方法还可以包括(3)接收对第二MCU的请求,(4)读取索引以确定第二MCU的位偏移和第一MCU的DC系数,以及(5)第二个MCU的熵解码开始 在位流中的位偏移处,其中对第二MCU进行熵解码包括使用第一MCU的DC系数来确定第二MCU的DC系数。