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    • 1. 发明授权
    • Using graphic objects in MFD scan-to-export function
    • 在MFD扫描到导出功能中使用图形对象
    • US07283674B2
    • 2007-10-16
    • US10877302
    • 2004-06-25
    • Yingjun BaiZhigang FanTimothy W. Jacobs
    • Yingjun BaiZhigang FanTimothy W. Jacobs
    • G06K9/36G06K9/00
    • H04N1/642
    • A method of compressing a document includes: acquiring an image of the document, the image represented by pixels; segmenting the image into Mixed Raster Content (MRC) planes including a foreground plane (12) that receives a first portion of the pixels, a background plane (14) that receives a second portion of the pixels, and a selector plane (16) that identifies which of the foreground and background planes the pixels belong to; identifying a geometric shape in at least one of the MRC planes; determining if the identified geometric shape has a substantially uniform color; and, replacing the identified shape when it is determined to have a substantially uniform color with a vector graphic representation of the geometric shape.
    • 压缩文档的方法包括:获取文档的图像,由像素表示的图像; 将图像分割成包含接收像素的第一部分的前景平面(12)的混合光栅内容(MRC)平面,接收像素的第二部分的背景平面(14)以及选择器平面(16),其中, 识别像素属于哪个前景和背景平面; 识别所述MRC平面中的至少一个中的几何形状; 确定所识别的几何形状是否具有基本均匀的颜色; 并且当确定具有几何形状的矢量图形表示的基本均匀的颜色时,替换所识别的形状。
    • 2. 发明申请
    • Using graphic objects in MFD scan-to-export function
    • 在MFD扫描到导出功能中使用图形对象
    • US20050286776A1
    • 2005-12-29
    • US10877302
    • 2004-06-25
    • Yingjun BaiZhigang FanTimothy Jacobs
    • Yingjun BaiZhigang FanTimothy Jacobs
    • G06K9/36H04N1/32
    • H04N1/642
    • A method of compressing a document includes: acquiring an image of the document, the image represented by pixels; segmenting the image into Mixed Raster Content (MRC) planes including a foreground plane (12) that receives a first portion of the pixels, a background plane (14) that receives a second portion of the pixels, and a selector plane (16) that identifies which of the foreground and background planes the pixels belong to; identifying a geometric shape in at least one of the MRC planes; determining if the identified geometric shape has a substantially uniform color; and, replacing the identified shape when it is determined to have a substantially uniform color with a vector graphic representation of the geometric shape.
    • 压缩文档的方法包括:获取文档的图像,由像素表示的图像; 将图像分割成包含接收像素的第一部分的前景平面(12)的混合光栅内容(MRC)平面,接收像素的第二部分的背景平面(14)以及选择器平面(16),其中, 识别像素属于哪个前景和背景平面; 识别所述MRC平面中的至少一个中的几何形状; 确定所识别的几何形状是否具有基本均匀的颜色; 并且当确定具有几何形状的矢量图形表示的基本均匀的颜色时,替换所识别的形状。
    • 6. 发明授权
    • System for recording image data from a set of sheets having similar graphic elements
    • 用于从具有相似图形元素的一组纸张记录图像数据的系统
    • US07292710B2
    • 2007-11-06
    • US10788944
    • 2004-02-26
    • Zhigang FanRamesh NagarajanYingjun Bai
    • Zhigang FanRamesh NagarajanYingjun Bai
    • G06K9/00
    • H04N19/90G06K9/00449
    • In an input scanning system, as would be present in a digital copier, a “template” of similar visual elements or objects, such as logos and other designs, is detected among a series of scanned images. The common objects form a reference image against which subsequently-recorded input images are compared. If bounding boxes around objects in the input images match those in the reference image, the objects in the bounding boxes are attempted to be matched to those in the reference image. If objects in the input image and reference image match, then the image data from the input image is coded using a pointer to the corresponding object in the reference image.
    • 在输入扫描系统​​中,如在数字复印机中所存在的那样,在一系列扫描图像中检测到类似的视觉元素或物体(诸如徽标和其他设计)的“模板”。 公共对象形成参考图像,随后记录的输入图像被比较。 如果输入图像中的对象周围的边框与参考图像中的边框相匹配,则尝试将边界框中的对象与参考图像中的对象进行匹配。 如果输入图像和参考图像中的对象匹配,则使用指向参考图像中的相应对象的指针对来自输入图像的图像数据进行编码。
    • 8. 发明授权
    • Reducing smear and slow response artifacts in vector error diffusion
    • US09848105B1
    • 2017-12-19
    • US09080700
    • 1998-05-18
    • Zhigang Fan
    • Zhigang Fan
    • H04N1/405H04N1/60G06K15/02
    • H04N1/4052G06K15/1881H04N1/52H04N1/6027
    • A method of color image processing for quantizing output includes obtaining an input for an object pixel which is represented by a vector in a first color space. A modified input equal to the input plus a sum of errors from other pixels in a neighborhood of the object pixel is generated. For each color component in the first color space, where corresponding color components of the modified input are located with respect to a preset range is determined. If the modified input's color component is greater than the preset range, then that color component for an output is determined to be on; if less than the preset range, then that color component for the output is determine to be off; and, if within the preset range, then that color component for the output is determined to be unknown. A transformed modified input is mapped to a perceptual color space when any color component of the output is unknown. Colors consistent with color components of the output that have already been determined are also mapped to the perceptual color space. The color in the perceptual color space that lies closest to the transformed modified input is chosen. An output in the first color space having color components on and off is generated consistent with the determinations and/or choices made. Error for the object pixel is then calculated as the difference between the output and the modified input.
    • 9. 发明申请
    • IMAGE CAPTURE BY SCENE CLASSIFICATION
    • 通过场景分类的图像捕获
    • US20160286114A1
    • 2016-09-29
    • US15081281
    • 2016-03-25
    • Zhigang Fan
    • Zhigang Fan
    • H04N5/235H04N5/232G02B7/28G06T5/00G06T5/20G06K9/46G06K9/62G06T7/00
    • H04N5/2352G02B7/285G06K9/4661G06K9/6267H04N5/23212
    • A method, a device and a computer readable for automatically identifying a Christmas tree scene and setting a camera's focus and/or exposure parameters in a way that yields images with high image quality. The Christmas tree scene identification can be performed by segmenting the image into bright and dark regions, identifying the light objects, collecting the statistics of the light objects, and classifying the scene based on the statistics of the light objects, or by collecting the pixel value statistics for the image, and classifying the scene based on the statistics of the pixel values, or by collecting the pixel value statistics for the image, filtering the image, collecting the pixel value statistics for the filtered image, and classifying the scene by comparing the statistics of the pixel values before and after filtering. The focus and exposure settings can be adjusted based on the Christmas tree scene identification results. For Christmas tree scenes, the exposure can be set based on a value that is adjusted upwards from the mean luminance of the image, or on a value that is calculated from the top luminance value. The focus can be set by identifying the lights in the image, and minimizing the light size in the image.
    • 用于自动识别圣诞树场景并以产生具有高图像质量的图像的方式设置相机的焦点和/或曝光参数的方法,设备和计算机。 可以通过将图像分割成明暗区域,识别光对象,收集光对象的统计数据和基于光对象的统计信息对场景进行分类,或者通过收集像素值来执行圣诞树场景识别 统计图像,并根据像素值的统计信息对场景进行分类,或者通过收集图像的像素值统计信息,过滤图像,收集滤波图像的像素值统计数据,并对场景进行分类比较 过滤前后像素值的统计。 焦点和曝光设置可以根据圣诞树场景识别结果进行调整。 对于圣诞树场景,可以基于从图像的平均亮度向上调整的值或从顶部亮度值计算的值来设置曝光。 可以通过识别图像中的光,并最小化图像中的光线大小来设置焦点。