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    • 2. 发明申请
    • Automatic Photo Orientation Detection
    • 自动照片定位检测
    • US20090129636A1
    • 2009-05-21
    • US11942651
    • 2007-11-19
    • Li MeiJin Wang
    • Li MeiJin Wang
    • G06K9/46
    • G06K9/3208G06K9/00228H04N1/3877
    • A method determining image orientation includes determining if an image includes an orientation tag and if the tag indicates the image is rotated +90 or −90 degrees. When the image does not include the tag or the tag does not indicates the image is rotated, the method includes determining if a face is detected in the original image and displaying the original image when a face is detected. When a face is not detected, the method includes rotating the image +90 and −90 degrees and detecting a face in the rotated images. When a face is not detected, the method includes applying a classifier to determine the image's proper orientation. When a face is detected in one rotated image, the method includes displaying the rotated image. When a face is detected in both rotated images, the method includes applying the classifier to determine the image's proper orientation.
    • 确定图像取向的方法包括确定图像是否包括方位标签,以及标签是否指示图像旋转+90或-90度。 当图像不包括标签或标签不表示图像旋转时,该方法包括确定在检测到面部时是否在原始图像中检测到面部并显示原始图像。 当未检测到脸部时,该方法包括旋转图像+90和-90度并检测旋转图像中的脸部。 当未检测到脸部时,该方法包括应用分类器来确定图像的正确取向。 当在一个旋转的图像中检测到脸部时,该方法包括显示旋转的图像。 当在两个旋转的图像中检测到脸部时,该方法包括应用分类器来确定图像的正确定向。
    • 3. 发明授权
    • Automatic photo orientation detection
    • 自动照相定位检测
    • US08094892B2
    • 2012-01-10
    • US11942651
    • 2007-11-19
    • Li MeiJin Wang
    • Li MeiJin Wang
    • G06K9/00G06K9/32
    • G06K9/3208G06K9/00228H04N1/3877
    • A method determining image orientation includes determining if an image includes an orientation tag and if the tag indicates the image is rotated +90 or −90 degrees. When the image does not include the tag or the tag does not indicate the image is rotated, the method includes determining if a face is detected in the original image and displaying the original image when a face is detected. When a face is not detected, the method includes rotating the image +90 and −90 degrees and detecting a face in the rotated images. When a face is not detected, the method includes applying a classifier to determine the image's proper orientation. When a face is detected in one rotated image, the method includes displaying the rotated image. When a face is detected in both rotated images, the method includes applying the classifier to determine the image's proper orientation.
    • 确定图像取向的方法包括确定图像是否包括方位标签,以及标签是否指示图像旋转+90或-90度。 当图像不包括标签或标签不表示图像被旋转时,该方法包括确定在原始图像中是否检测到面部并且在检测到脸部时显示原始图像。 当未检测到脸部时,该方法包括旋转图像+90和-90度并检测旋转图像中的脸部。 当未检测到脸部时,该方法包括应用分类器来确定图像的正确取向。 当在一个旋转的图像中检测到脸部时,该方法包括显示旋转的图像。 当在两个旋转的图像中检测到脸部时,该方法包括应用分类器来确定图像的正确定向。
    • 5. 发明授权
    • Method for detecting and showing quality of a preview or stored picture in an electronic imaging device
    • 用于在电子成像装置中检测和显示预览或存储的图像的质量的方法
    • US08421898B2
    • 2013-04-16
    • US12805359
    • 2010-07-27
    • Jian-Xin PangHua-Qi ZhangLi MeiJin Wang
    • Jian-Xin PangHua-Qi ZhangLi MeiJin Wang
    • H04N5/222
    • H04N5/23293H04N5/23251
    • The present invention relates to a method for detecting and showing quality of a preview or stored picture in an electronic imaging device, which comprises the steps of determining whether the electronic imaging device is operated in a preview mode or a file mode; detecting at least four features of the preview or stored picture; determining whether each of the features of the preview or stored picture is normal or not; and displaying the preview or stored picture and at least one of four graphical indicators on a LCD screen of the electronic imaging device when it is determined that the feature corresponding to the graphical indicator is not in a normal status. Thus, a user is able to easily identify the features of the preview or stored picture in a graphical way on the LCD screen in a real time while reviewing the preview or stored picture.
    • 本发明涉及一种用于检测和显示电子成像设备中预览或存储的图像的质量的方法,其包括以下步骤:确定电子成像设备是否以预览模式或文件模式操作; 检测预览或存储的图像的至少四个特征; 确定预览或存储的图像的每个特征是否正常; 以及当确定对应于图形指示符的特征不处于正常状态时,在电子成像设备的LCD屏幕上显示预览或存储的图像以及四个图形指示器中的至少一个。 因此,用户能够在查看预览或存储的图像的同时在LCD屏幕上以图形方式容易地识别预览或存储的图像的特征。
    • 7. 发明授权
    • Image deblur based on two images
    • 基于两个图像的图像deblur
    • US07680354B2
    • 2010-03-16
    • US11419733
    • 2006-05-22
    • Li MeiJin Wang
    • Li MeiJin Wang
    • G06K9/40H04N5/228
    • G06T5/003G06T5/50G06T2207/10024G06T2207/20201H04N5/23232H04N5/23248H04N5/23277
    • A method includes (a) performing image deblur at the original size of underexposed and normally exposed images when their original image size is small. Otherwise, the method includes (b) downsizing the images and performing image deblur on the downsized images. The image deblur on downsized images includes (c) applying a global color transfer between the images if their difference of average gray values is small. Otherwise, the method includes four successive sub-procedures: (d) histogram customizing of the underexposed image based on the normally exposed image; (e) region segmentation for the histogram-customized underexposed image and local alignment of regions in the histogram-customized underexposed image with the normally exposed image; (f) color tuning for the histogram-customized underexposed image based on the local alignment and a global alignment between the underexposed and the normally exposed images; and (g) local color transfer with multi-size neighbor windows from between the images.
    • 一种方法包括(a)当它们的原始图像尺寸小时,以不足曝光和正常曝光的图像的原始尺寸执行图像去毛刺。 否则,该方法包括(b)在缩小的图像上缩小图像并执行图像去模糊。 小尺寸图像上的图像伪像包括(c)如果平均灰度值的差异较小,则在图像之间应用全局色彩转移。 否则,该方法包括四个连续的子程序:(d)基于正常曝光的图像对曝光不良的图像进行直方图定制; (e)用于直方图定制曝光不足的图像的区域分割和直方图定制曝光不足的图像中的区域的局部对准; (f)基于局部对准的直方图定制的曝光不足的图像和曝光不足和正常曝光的图像之间的全局对准的颜色调整; 和(g)在图像之间具有多尺寸相邻窗口的局部颜色转移。
    • 8. 发明申请
    • Method for detecting and showing quality of a preview or stored picture in an electronic imaging device
    • 用于在电子成像装置中检测和显示预览或存储的图像的质量的方法
    • US20120026378A1
    • 2012-02-02
    • US12805359
    • 2010-07-27
    • Jian-Xin PangHua-Qi ZhangLi MeiJin Wang
    • Jian-Xin PangHua-Qi ZhangLi MeiJin Wang
    • H04N5/222
    • H04N5/23293H04N5/23251
    • The present invention relates to a method for detecting and showing quality of a preview or stored picture in an electronic imaging device, which comprises the steps of determining whether the electronic imaging device is operated in a preview mode or a file mode; detecting at least four features of the preview or stored picture; determining whether each of the features of the preview or stored picture is normal or not; and displaying the preview or stored picture and at least one of four graphical indicators on a LCD screen of the electronic imaging device when it is determined that the feature corresponding to the graphical indicator is not in a normal status. Thus, a user is able to easily identify the features of the preview or stored picture in a graphical way on the LCD screen in a real time while reviewing the preview or stored picture.
    • 本发明涉及一种用于检测和显示电子成像设备中预览或存储的图像的质量的方法,其包括以下步骤:确定电子成像设备是否以预览模式或文件模式操作; 检测预览或存储的图像的至少四个特征; 确定预览或存储的图像的每个特征是否正常; 以及当确定对应于图形指示符的特征不处于正常状态时,在电子成像设备的LCD屏幕上显示预览或存储的图像以及四个图形指示器中的至少一个。 因此,用户能够在查看预览或存储的图像的同时在LCD屏幕上以图形方式容易地识别预览或存储的图像的特征。
    • 9. 发明申请
    • Image Deblur Based on Two Images
    • 基于两个图像的图像去除
    • US20070223831A1
    • 2007-09-27
    • US11419733
    • 2006-05-22
    • Li MeiJin Wang
    • Li MeiJin Wang
    • G06K9/40
    • G06T5/003G06T5/50G06T2207/10024G06T2207/20201H04N5/23232H04N5/23248H04N5/23277
    • A method includes (a) performing image deblur at the original size of underexposed and normally exposed images when their original image size is small. Otherwise, the method includes (b) downsizing the images and performing image deblur on the downsized images. The image deblur on downsized images includes (c) applying a global color transfer between the images if their difference of average gray values is small. Otherwise, the method includes four successive sub-procedures: (d) histogram customizing of the underexposed image based on the normally exposed image; (e) region segmentation for the histogram-customized underexposed image and local alignment of regions in the histogram-customized underexposed image with the normally exposed image; (f) color tuning for the histogram-customized underexposed image based on the local alignment and a global alignment between the underexposed and the normally exposed images; and (g) local color transfer with multi-size neighbor windows from between the images.
    • 一种方法包括(a)当它们的原始图像尺寸小时,以不足曝光和正常曝光的图像的原始尺寸执行图像去毛刺。 否则,该方法包括(b)在缩小的图像上缩小图像并执行图像去模糊。 小尺寸图像上的图像伪像包括(c)如果平均灰度值的差异较小,则在图像之间应用全局色彩转移。 否则,该方法包括四个连续的子程序:(d)基于正常曝光的图像对曝光不良的图像进行直方图定制; (e)用于直方图定制曝光不足的图像的区域分割和直方图定制曝光不足的图像中的区域的局部对准; (f)基于局部对准的直方图定制的曝光不足的图像和曝光不足和正常曝光的图像之间的全局对准的颜色调整; 和(g)在图像之间具有多尺寸相邻窗口的局部颜色转移。