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    • 6. 发明授权
    • Inverse halftoning using inverse projection of predicted errors for multi-bit images
    • 使用对多位图像的预测误差的反投影的反半色调
    • US09521296B2
    • 2016-12-13
    • US14469944
    • 2014-08-27
    • Xerox Corporation
    • Dhevendra A. PalanivelSunil KumarSainarayanan GopalakrishnanXing Li
    • H04N1/405H04N1/40
    • H04N1/4052H04N1/40075H04N2201/0094
    • In systems and methods, an original image was previously converted to a lower bit count per pixel. The resulting image included pixel error based on the lower bit count per pixel. The conversion used an error weighting matrix (which diffuses the pixel error of each pixel to adjacent pixels). Methods and systems produce an output image from the lower bit count per pixel image using the error weighting matrix to determine, for each pixel, the amount of error added because of the adjacent pixels during the conversion process. Then, such methods and systems remove, from each pixel, the amount of error that was previously added based on the adjacent pixels. After removing the amount of error added based on the adjacent pixels from all pixels in the input image, an output image is reconstructed using a filter, such as a low pass filter.
    • 在系统和方法中,原始图像先前被转换为每像素的较低位数。 所得到的图像包括基于每像素的较低位计数的像素误差。 转换使用误差加权矩阵(它将每个像素的像素误差扩散到相邻像素)。 方法和系统使用误差加权矩阵从每像素图像的较低位计数产生输出图像,以便为每个像素确定在转换过程期间由于相邻像素而添加的误差量。 然后,这些方法和系统从每个像素中移除先前根据相邻像素添加的错误量。 在从输入图像中的所有像素中除去基于相邻像素的误差量之后,使用诸如低通滤波器的滤波器重建输出图像。
    • 8. 发明授权
    • Method and system for inverse halftoning utilizing inverse projection of predicted errors
    • 使用反投影预测误差的逆半色调方法和系统
    • US09215345B2
    • 2015-12-15
    • US13850342
    • 2013-03-26
    • Xerox Corporation
    • Dhevendra alagan PalanivelSainarayanan GopalakrishnanClara Cuciurean-Zapan
    • G06K9/00H04N1/40H04N1/405
    • H04N1/4052H04N1/40075H04N2201/0094
    • A method and system generates a reconstructed gray scale image of pixels from a binary image of pixels by reverse propagating an error, in a diffused manner, to the pixels of the binary image to create pixels representing a reconstructed gray scale image. The reverse propagation of the error determines if a current pixel has a first predetermined value; sets an error value to a first error value if the current pixel has the first predetermined value; sets the error value to a second error value if the current pixel does not have the first predetermined value; and propagates a diffused error value to a pixel neighboring the current pixel to create an error diffused pixel, the diffused error value being a product of the set error value and a weighting coefficient associated with the pixel neighboring the current pixel. A Gaussian filter may be utilized to filter the pixels representing a gray scale image to create a filtered reconstructed gray scale image of pixels.
    • 一种方法和系统通过以扩散的方式将错误反向传播到二进制图像的像素来产生来自像素的二进制图像的像素的重构的灰度图像,以创建表示重构的灰度图像的像素。 错误的反向传播确定当前像素是否具有第一预定值; 如果当前像素具有第一预定值,则将误差值设置为第一误差值; 如果当前像素不具有第一预定值,则将误差值设置为第二误差值; 并且将扩散误差值传播到与当前像素相邻的像素以产生误差扩散像素,扩散误差值是设定误差值与与当前像素相邻的像素相关联的加权系数的乘积。 可以使用高斯滤波器来对表示灰度图像的像素进行滤波,以创建像素的滤波重构的灰度级图像。