Text enhancement in printing material saving mode

    公开(公告)号:US10419640B1

    公开(公告)日:2019-09-17

    申请号:US16009606

    申请日:2018-06-15

    Abstract: System(s) and method(s) for text enhancement in printing material saving mode are described. In an example, a method comprises identifying a type of a pixel based on edge tag data associated with the pixel, where the edge tag data is indicative of whether the pixel is an edge pixel or a non-edge pixel. The method further comprises determining at least one material saving parameter based on the type of the pixel. Further, the method comprises modifying a quantization error value based on the at least one material saving parameter. The method further comprises distributing the modified quantization error to a set of unprocessed pixels.

    Methods and systems for usage control of printing material

    公开(公告)号:US10313564B1

    公开(公告)日:2019-06-04

    申请号:US16009595

    申请日:2018-06-15

    Abstract: System(s) and method(s) for controlling a rate of consumption of printing material are described. The method includes receiving an image to be printed or copied and converting the image into a plurality of pixels. A value of a pixel, from among the plurality of pixels, is compared with a predefined threshold value. When the value of the pixel is below the predefined threshold value, a black pixel indicative of a pixel with printing material is generated. An error between the value of the pixel and a value of the black pixel is determined. The error value is multiplied by a gain value and then the weighted value of resultant is distributed among neighborhood pixels. The gain value is varied to control the rate of consumption of the printing material, as the consumption of the printing material is reduced when the gain value is increased.

    Method and system for compressing and converting an image during printing

    公开(公告)号:US09641724B1

    公开(公告)日:2017-05-02

    申请号:US15162659

    申请日:2016-05-24

    CPC classification number: H04N1/40018 H04N1/2104 H04N1/32277 H04N2201/0094

    Abstract: A method and a system for image compression are disclosed. An image is converted to a halftoned image. The one or more halftoned lines in the halftoned image comprise one or more pixels. A first transformed image is generated from the halftoned image based on shifting of the one or more pixels, associated with the one or more halftoned lines in the halftoned image, by a first value. A second transformed image is generated from the first transformed image based on shifting of the one or more pixels, associated with the one or more halftoned lines in the first transformed image, by a second value. Further, a compressed image is generated based on compression of the second transformed image. The compressed image is stored in a storage device. Another method and system for image conversion are disclosed that converts the compressed image back to the first transformed image.

    Image processing based on automatic image-type detection
    15.
    发明授权
    Image processing based on automatic image-type detection 有权
    基于自动图像检测的图像处理

    公开(公告)号:US09055251B2

    公开(公告)日:2015-06-09

    申请号:US14034690

    申请日:2013-09-24

    CPC classification number: H04N1/40062 G06F3/1208 G06F3/126

    Abstract: Methods and systems divide an image into image blocks, determine a number of high-variation blocks within valid image blocks, determine a page variance measure by dividing the number of high-variation blocks by the total number of valid image blocks, and classify the image as comprising a halftone and/or text image if the page variance measure exceeds a halftone threshold. Such methods and systems classify the image as being a continuous tone image if the page variance measure does not exceed the halftone threshold and a text index is below a text index threshold, and classify the image as being a continuous tone and text image if the page variance measure does not exceed the halftone threshold and the text index is not below the text index threshold. Further, such methods and systems select an image processing mode based on such image classifications.

    Abstract translation: 方法和系统将图像划分为图像块,确定有效图像块内的多个高变化块,通过将高变化块的数量除以有效图像块的总数来确定页面方差度量,并对图像进行分类 如果页面方差度量超过半色调阈值,则包括半色调和/或文本图像。 如果页面差异度量不超过半色调阈值并且文本索引低于文本索引阈值,则这样的方法和系统将图像分类为连续色调图像,并将图像分类为连续色调和文本图像,如果页面 方差度量不超过半色调阈值,文本索引不低于文本索引阈值。 此外,这样的方法和系统基于这样的图像分类来选择图像处理模式。

    IMAGE PROCESSING BASED ON AUTOMATIC IMAGE-TYPE DETECTION
    16.
    发明申请
    IMAGE PROCESSING BASED ON AUTOMATIC IMAGE-TYPE DETECTION 有权
    基于自动图像检测的图像处理

    公开(公告)号:US20150085320A1

    公开(公告)日:2015-03-26

    申请号:US14034690

    申请日:2013-09-24

    CPC classification number: H04N1/40062 G06F3/1208 G06F3/126

    Abstract: Methods and systems divide an image into image blocks, determine a number of high-variation blocks within valid image blocks, determine a page variance measure by dividing the number of high-variation blocks by the total number of valid image blocks, and classify the image as comprising a halftone and/or text image if the page variance measure exceeds a halftone threshold. Such methods and systems classify the image as being a continuous tone image if the page variance measure does not exceed the halftone threshold and a text index is below a text index threshold, and classify the image as being a continuous tone and text image if the page variance measure does not exceed the halftone threshold and the text index is not below the text index threshold. Further, such methods and systems select an image processing mode based on such image classifications.

    Abstract translation: 方法和系统将图像划分为图像块,确定有效图像块内的多个高变化块,通过将高变化块的数量除以有效图像块的总数来确定页面方差度量,并对图像进行分类 如果页面方差度量超过半色调阈值,则包括半色调和/或文本图像。 如果页面差异度量不超过半色调阈值并且文本索引低于文本索引阈值,则这样的方法和系统将图像分类为连续色调图像,并将图像分类为连续色调和文本图像,如果页面 方差度量不超过半色调阈值,文本索引不低于文本索引阈值。 此外,这样的方法和系统基于这样的图像分类来选择图像处理模式。

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