Image processing apparatus, image processing method, color adjustment method, and color adjustment system
    2.
    发明公开
    Image processing apparatus, image processing method, color adjustment method, and color adjustment system 失效
    图像处理设备,图像处理方法,颜色调整方法和颜色调整系统

    公开(公告)号:EP1489833A1

    公开(公告)日:2004-12-22

    申请号:EP04077594.2

    申请日:1998-06-12

    IPC分类号: H04N1/62

    摘要: In conventional image processing techniques, although a certain kind of image adjustment provides a desired effect on an image, it may cause an undesired side effect thereon, resulting in an unsatisfactory result of adjustment.
    On a computer serving as the nucleus of image processing, a region applicable to image processing is specified at a step, an object pixel is moved for judging whether or not it belongs to the specified region at the subsequent steps, and then a specified image processing operation is carried out if the object pixel is judged to belong to the specified region. Therefore, adjustment of image data in a certain region does not have an adverse effect on image data in other regions, making it possible to realize satisfactory adjustment in an entire image with ease.
    Further, on the computer, chromaticity "x-y" of each pixel is calculated at a step, and statistical calculation is performed at the subsequent steps if a value of chromaticity thus calculated is in a possible chromaticity range. After completion of statistical calculation on all the pixels, an average value is determined at the subsequent step, and a degree of each color adjustment is calculated while taking account of the number of pixels of interest at the subsequent step. In this manner, accurate statistical calculation is performed on color pixels to be adjusted independently of brightness, and a degree of each color adjustment is regulated by taking account of the number of pixels of interest, thereby making it possible to carry out optimum color adjustment processing without giving an adverse effect on colors of surrounding pixels.

    摘要翻译: 在传统的图像处理技术中,尽管某种形式的图像调整对图像提供了期望的效果,但是其可能导致不希望的副作用,导致调整结果不令人满意。 在作为图像处理的核心的计算机中,在步骤中指定适用于图像处理的区域,在随后的步骤中移动对象像素以判断其是否属于指定区域,然后是指定的图像处理 如果对象像素被判断为属于指定区域,则执行操作。 因此,调整某区域的图像数据不会对其他区域的图像数据造成不良影响,可以容易地实现整个图像的良好调整。 此外,在计算机上,在一个步骤中计算每个像素的色度“x-y”,并且如果如此计算的色度值处于可能的色度范围内,则在随后的步骤中执行统计计算。 在完成所有像素的统计计算之后,在随后的步骤中确定平均值,并且在考虑后续步骤中感兴趣的像素的数量的同时计算每种颜色调整的程度。 以这种方式,对要独立于亮度调整的彩色像素执行精确的统计计算,并且通过考虑感兴趣像素的数量来调整每个颜色调整的程度,从而使得可以执行最佳颜色调整处理 而不会对周围像素的颜色产生不利影响。

    Image processing device for colour printing devices
    3.
    发明公开
    Image processing device for colour printing devices 失效
    BildverarbeitungsvorrichtungfürFarbdruckvorrichtungen

    公开(公告)号:EP1439692A2

    公开(公告)日:2004-07-21

    申请号:EP04076244.5

    申请日:1998-03-31

    IPC分类号: H04N1/60

    摘要: A conventional color printing device has a problem that the device cannot deal with a case where deviation occurs in a color ink ejecting amount due to age softening of a print head. Further, it also has a problem that an adjustment at a factory is required every device to increase manufacturing process, thereby being troublesome.
    A deviation in output characteristics of a printer 31 is written in a PROM area of a print head unit 31a1 as well as the PROM area is read, or a predetermined adjusting patterns are printed and the one closest to gray is selected among this patterns to be inputted, so that the deviation in output characteristics in the printer 31 can be received. Moreover, a color correction look-up table is formed to perform a color conversion so as to eliminate this deviation for rewriting a color conversion look-up table, whereby a color correction foreseeing the deviation is performed by referring to the rewritten color conversion look-up table when a printing operation is actually executed based upon color image data. Therefore, a printed matter does not have the deviation existing in a hardware of the printer 31, thereby capable of faithfully reproducing color.

    摘要翻译: 传统的彩色打印装置具有这样的问题:该装置不能处理由于打印头的老化软化而导致的彩色墨水喷射量发生偏移的情况。 此外,还存在为了增加制造过程而需要在工厂进行调整的问题,因此麻烦。 打印机31的输出特性的偏差被写入打印头单元31a1的PROM区域中,以及读取PROM区域,或者打印预定的调整图案,并且选择最接近灰色的调色图案 该图案被输入,从而能够接收打印机31的输出特性的偏差。 此外,形成颜色校正查找表以执行颜色转换,以消除用于重写颜色转换查找表的该偏差,由此通过参考重写的颜色转换查找表执行预测偏差的颜色校正, 基于彩色图像数据实际执行打印操作时的表格。 因此,印刷品在打印机31的硬件中不存在偏差,从而能够忠实地再现颜色。

    Edge-enhancement processing apparatus and method
    4.
    发明公开
    Edge-enhancement processing apparatus and method 失效
    方法和装置边缘增强

    公开(公告)号:EP1365355A2

    公开(公告)日:2003-11-26

    申请号:EP03077304.8

    申请日:1998-05-28

    IPC分类号: G06T5/00

    摘要: An edge-enhancement processing apparatus which removes problems of the conventional edge enhancement processing, which requires checking by an operator's visual observation or a high-frequency band filter, thus complicating the construction. A computer main body 21, as the nucleus of edge enhancement processing, calculates an edge amount as vector change level while generating a vector based on the difference values of data between adjacent pixels, at step S110, then selects and integrates edge amounts of only pixels having large edge amounts at steps S120 and S130, and obtains the mean value at step S230, to obtain the sharpness level of the image while adding attention to the pixels having large image change levels. The computer main body 21 determines an edge enhancement level Eenhance based on the image sharpness level. Thus, the computer main body 21 automatically performs edge enhancement processing at an optimum enhancement level.

    An image processing apparatus and method, and an image evaluation device and method
    5.
    发明公开
    An image processing apparatus and method, and an image evaluation device and method 失效
    Bildverarbeitungsgerätund -verfahren sowie Bildauswertungsvorrichtung und -verfahren

    公开(公告)号:EP0891075A2

    公开(公告)日:1999-01-13

    申请号:EP98304509.7

    申请日:1998-06-08

    IPC分类号: H04N1/40

    摘要: In image processing according to the prior art, the important part of photographic image data (referred to herein as the object) could not be determined and therefore required human participation.
    A computer 21 which is the core of image processing calculates an edginess which is an image variation from a differential value of data for adjacent picture elements in a step SA110, and determines object picture elements by selecting only images with a large variation in steps SA120, SA130. As optimum parameters for contrast correction and lightness compensation are calculated from image data for object picture elements in steps SA310-SA330, image processing indicators based on object picture elements are determined, and optimum image processing can be performed automatically. After summing a luminance distribution for each area of the image, which is a feature amount, while uniformly selecting picture elements in a step SB110, a reevaluation is performed by a weighting determined for each area in a step SB120, and a luminance distribution strongly influenced by the luminance distribution of the photographed object is thus obtained with uniform sampling. After determining the intensity of this luminance distribution in steps SB130-SB150, the image data is converted in a step SB160, and image processing can therefore be performed with optimum intensity while reducing the processing amount.

    摘要翻译: 在根据现有技术的图像处理中,摄影图像数据(本文中称为对象)的重要部分不能被确定,因此需要人参与。 作为图像处理的核心的计算机21在步骤SA110中计算作为相邻图像元素的数据的差分值的图像变化的偏移,并且通过仅选择步骤SA120中的变化大的图像来确定对象图像元素, SA130。 根据步骤SA310-SA330中的对象图像元素的图像数据计算对比度校正和亮度补偿的最佳参数,确定基于对象图像元素的图像处理指示符,并且可以自动执行最佳图像处理。 在对作为特征量的图像的每个区域的亮度分布求和之后,在步骤SB110中均匀地选择图像元素的同时,通过对步骤SB120中的每个区域确定的加权来执行重新评估,并且强烈影响亮度分布 因此通过均匀采样获得拍摄对象的亮度分布。 在步骤SB130-SB150中确定该亮度分布的强度之后,在步骤SB160中转换图像数据,因此可以以最佳强度执行图像处理,同时减少处理量。