RASTER IMAGE CONVERSION APPARATUS, IMAGE SCANNING APPARATUS, METHOD OF CONVERTING RASTER IMAGE, AND COMPUTER-READABLE RECORDING MEDIUM
    2.
    发明申请
    RASTER IMAGE CONVERSION APPARATUS, IMAGE SCANNING APPARATUS, METHOD OF CONVERTING RASTER IMAGE, AND COMPUTER-READABLE RECORDING MEDIUM 审中-公开
    RASTER图像转换装置,图像扫描装置,转换图像的方法和计算机可读记录介质

    公开(公告)号:US20130128324A1

    公开(公告)日:2013-05-23

    申请号:US13670973

    申请日:2012-11-07

    CPC classification number: G06K9/34 G06T9/00 G06T9/20 H04N1/56

    Abstract: A raster image conversion apparatus, a method of converting a raster image, an image scanning apparatus, and a computer-readable recording medium. The method includes dividing the raster image into a background area, a single color area, and a multicolored area, generating metacommands respectively corresponding to the background area, the single color area, and the muiticolored area, and generating a metafile based on the generated metacommands, such that the generation of the metacommands includes vectoring a contour of the single color area and generating a metacommand corresponding to the vectored contour.

    Abstract translation: 光栅图像转换装置,光栅图像的转换方法,图像扫描装置和计算机可读记录介质。 该方法包括将光栅图像分割为背景区域,单一颜色区域和多色区域,分别生成分别对应于背景区域,单色区域和多彩区域的元命令,以及基于生成的元命令生成图元文件 ,使得元命令的生成包括向量化单个颜色区域的轮廓并生成对应于向量轮廓的元命令。

    Method and apparatus for image processing

    公开(公告)号:US11481873B2

    公开(公告)日:2022-10-25

    申请号:US16987850

    申请日:2020-08-07

    Abstract: An image processing method is provided The image processing includes images obtained using a Red-Clear-Clear-Blue (RCCB) color filter array. An image processing method for processing an RCCB image obtained by an image capturing device comprising an array of photosensors with a mosaic of RCCB filters comprises interpolating the RCCB image to obtain dense C-channel data from a sparse C-channel, and chromatic filtering, based on the RCCB image data and the dense C-channel, to obtain an RGB image by obtaining the dense R-channel and B-channel, and filtering the R-channel and B-channel using the guide image. The computational load on the image processing equipment and the processing time are reduced, while enhancing the obtained image quality, including in low light conditions.

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